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REVIEW 1 major objections 6 minor 64 references

RadioGami: Batteryless, Long-Range Wireless Paper Sensors Using Tunnel Diodes

T0 review · 1 major / 6 minor · reviewed 2026-08-07 · deepseek-v4-flash

Pith's one-line read Batteryless paper tags with tunnel-diode oscillators broadcast their own radio signal out to 45.7 meters, readable with a $20 SDR.

desk verdict A credible range/power result that deserves citation, but the interaction-sensing claims are undercut by an unaddressed light-sensitivity confound the authors themselves document. read the letter →

arxiv 2506.06473 v1 pith:AOY7IKFL submitted 2025-06-06 cs.HC

classification cs.HC
keywords batterylesssensingtunneldiodeoscillatorpaperelectronicsenergyharvestingsoftware-definedradioorigamiinterfacesflexibleRF
verification ladder T0 review T1 audit T2 compute T3 formal

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The reading

This paper tries to establish that paper, normally thought of as a short-range passive substrate for wireless sensors, can instead host a self-contained radio transmitter. By placing a tunnel diode oscillator on a paper tag and powering it from tiny photodiodes, the authors report a batteryless sensor that reaches 45.73 meters while drawing only 35 microwatts. They show the same tag can detect bending, tearing, slider positions, rotation, and Miura or Kresling origami compressions by watching frequency shifts on a $20 software-defined radio receiver. If the claims hold, paper-based interactive devices move from tabletop range to building scale without batteries or external RF carriers, at a price that makes disposable sensing plausible.

What carries the argument

The load-bearing mechanism is the tunnel diode oscillator (TDO), an oscillator that uses a diode's negative differential resistance to generate a radio-frequency carrier at microwatt power. The tunnel diode is biased in its negative differential resistance region (65 to 200 mV) with a resistor network and combined with an inductor to form a resonant tank, giving an oscillation frequency approximately $f_o = \frac{1}{2\pi}\sqrt{\frac{1 - R_T |g_d|}{L C}}$ per the design equations in the paper. The tag's ground plane is part of that resonant circuit, so mechanical deformation changes its distributed capacitance and inductance and shifts $f_o$. A CSS555-timer-driven NMOS switch gates the oscillator on and off at 60 Hz with a 60 percent duty cycle, cutting average consumption from 49 to 35 microwatts. The receiver side is a software-defined radio with a dipole antenna that records these frequency shifts as SNR peaks.

What would settle it

In a fixed 800 lux environment, deform the tag's ground plane in 0.125 mm steps and record the frequency; then hold the tag flat and sweep illumination from 500 to 1000 lux. If the light-induced shift across 100 lux is comparable to the roughly 98.7 kHz per-step deformation shift, a moving user's shadow could masquerade as an interaction, which would falsify the deformation-only sensing claim.

Watch

Extended reading notes

Core claim

RadioGami is presented as the first tunnel-diode-oscillator (TDO) wireless sensor built on a paper substrate. The paper claims that a 27-component tag, made from copper tape and card stock and powered by photodiodes charging supercapacitors, broadcasts its own RF carrier at 35 microwatts average power and is readable at 45.73 meters by a low-cost SDR. Bending the ground plane, sliding a paper tab, rotating a paper wheel, and compressing Miura or Kresling folds all shift the oscillator frequency, and the paper maps those shifts to distinct interaction states. The contribution is an end-to-end design space: fabrication, power management via intermittent switching, characterization of range and sensitivity, and a 60-hour deployment showing event detection at 30 to 350 lux.

Load-bearing premise

The interaction-sensing claim rests on the assumption that observed frequency changes come from mechanical deformation of the antenna ground plane, yet the tag also shifts frequency with ambient light by a comparable amount, and the application experiments do not isolate light from deformation.

Editorial extensions

If this is right

  • With 25 photodiodes and intermittent switching, tags consume 35 microwatts and remain readable to 45.73 meters, while an 11-photodiode configuration drops power to 16 microwatts with a 27.44-meter range.
  • Because the tag generates its own carrier, no external RF emitter or dedicated reader is needed; a roughly $20 RTL-SDR with a dipole antenna is the receiver.
  • Slider positions, rotary angles, Miura and Kresling compression states, and package tearing map to repeatable frequency bands, enabling object-status and tamper monitors over a building's distance scale.
  • Interaction-activated tags with reed or tilt switches operate at 30 to 350 lux, with mean activation times under one second and an overall miss rate of about 5 percent across a 60-hour deployment of three tags.
  • Signals penetrate floor slabs with useful SNR on adjacent floors, and multiple tags can coexist on distinct frequency bands within one SDR's 2.4 MHz receive bandwidth.

Reading between the lines

Editorial extensions of the paper, not claims the author makes directly.

  • The paper leaves open whether the measured interaction frequency shifts are cleanly separable from ambient-light shifts, since the tag's frequency changes by roughly 0.05 to 0.06 MHz per 100 lux and the application experiments do not subtract illumination effects.
  • The same light sensitivity could be repurposed as a free environmental sensor: a tag's oscillation frequency alone encodes illuminance, so a deployment could log light level without adding hardware beyond the existing receiver.
  • Because TDO tags act as independent transmitters rather than backscatter reflectors, a single SDR could plausibly monitor a much larger population of tags than the three demonstrated, limited mainly by how tightly their frequency bands can be packed.
  • The durability data suggest these are disposable or short-lifetime sensors; a one-time-use design could therefore optimize for cost and trace simplicity rather than bending endurance.
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Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, and a circularity audit.

Referee Report

1 major / 6 minor

Summary. RadioGami presents a paper-substrate tunnel-diode-oscillator (TDO) tag that harvests ambient light, transmits in the 575–600 MHz band, and is received by a roughly $20 software-defined radio. The paper claims a 45.73 m operational range at 35 µW, multi-floor signal penetration, and a family of paper mechanisms—rotary encoder, slider, Miura-Ori, Kresling, and package tearing—that shift oscillator frequency through ground-plane deformation. It also introduces an interaction-activated variant for low-light environments and reports a 60-hour deployment across three kitchen objects. The central contributions are claimed as the first long-range, batteryless paper TDO sensors with an ultra-low-power budget and a library of tangible paper sensors.

Significance. If the range and power results hold, RadioGami is a meaningful advance over backscatter-based paper interfaces: it removes the external RF carrier, achieves tens of meters at microwatt power, and uses a low-cost receiver. The measured SNR curves, the component-level power table, the repeated deformation study (N=10), and the 60-hour low-light deployment are concrete empirical assets, and the comparison against PaperID, MARS, and RF Bandaid is useful for positioning the work. The interaction-sensing contribution, however, is currently threatened by the paper's own demonstration that oscillator frequency depends strongly on light level and tilt (Sections 4.4–4.5), and the headline power number needs a total-system accounting. The work is worth pursuing, but the deformation-sensing story requires controlled experiments or a substantial reframing before it can be considered established.

major comments (1)
  1. [§4.4, §4.5, §5.1–§5.6] The interaction-sensing claims are not yet isolated from the light-induced frequency drift documented in §4.4 (about 0.05–0.06 MHz per 100 lux, R²=0.98) and §4.5 (84.5 kHz per 15° tilt). The state separations in §5 are of the same order: rotary stages are 166–242 kHz apart (§5.2), Miura states are 148–398 kHz apart (§5.4), and Kresling states are 148–175 kHz apart (§5.5). A 100–200 lux change—a user's body, a passing shadow, or a slight reorientation of the tag—can therefore produce frequency shifts comparable to mechanism state changes. Section 5.1 attributes the shifts to ground-plane deformation, but no experiment in §5 logs illumination, enforces constant lux, or includes a no-deformation light-sweep control; the Section 6 deployment likewise states 800 lux only at setup and Table 2 reports no lux trace. Because the interactive mechanisms also bend and tilt the tag, the mechanical capacitance/inductance explanation is not the only viable one. Please add controlled-illumination replication with continuous lux logging and a light-sweep control for at least one mechanism, or explicitly reframe §5 as preliminary and remove it from the central contribution claims.
minor comments (6)
  1. [§3.3/§3.5] The capacitor labels are inconsistent: §3.3 names C1 as the 0.47 F supercapacitor and C2 as the 0.047 F unit, but §3.5 says the switching circuit is powered by “the 0.047 F supercapacitor, C1.” Please correct the label.
  2. [§4.4] The text reports a rate of 0.05 MHz per 100 lux, while Figure 8B reports -0.06 MHz per 100 lux; please reconcile the two values.
  3. [§5.3] The slider experiment reports only the first and last positions in the text; please provide the intermediate frequency values so that per-position separations can be verified.
  4. [Table 2] The bandwidth column lists one aggregate value per sensor but is not populated per row; please clarify how bandwidth was measured and whether it is the total occupied band.
  5. [§7.1.1] The deployment reports missed detections but no false positives; for an event-detection system, the false-alarm count is needed to interpret the overall detection rate.
  6. [Throughout] The range is reported inconsistently as 45.73 m, 45.7 m, and “>45 meters”; please use a single value with uncertainty.

Circularity Check

0 steps flagged · score 0.0 of 10

No circularity: range, power, and frequency-shift numbers are measured outputs, and governing equations are cited to an external GE tunnel diode manual.

full rationale

The paper's load-bearing numbers—the 45.73 m range, 35 µW power, the 0.05–0.06 MHz per 100 lux light sensitivity slope, the 98.74 kHz per deformation step, and the per-state interaction frequencies—are empirically measured, not produced by fitting a parameter and then re-predicting a closely related quantity. The TDO design equations (1)–(2) are credited to the GE Tunnel Diode Manual [36] and are used only as an initial component-selection guide, with explicit empirical fine-tuning; no result is defined in terms of its own conclusion. The switching-circuit equations (3)–(4) are standard 555-timer formulas. The ground-plane deformation sensing principle is attributed to Wang et al. [60], an external source, and Section 5's state frequencies are characterized through N=30 repeated measurements rather than predicted from the model. No load-bearing self-citation appears, nor is any uniqueness theorem imported from the authors' prior work. The ambient-light sensitivity measured in §4.4 (slope -0.06 MHz per 100 lux, R²=0.98) is a genuine threat to attributing §5 interaction shifts to mechanical deformation, but that is an experimental confound/correctness risk, not circularity: the paper does not use the light slope to construct the interaction claims, and the interaction frequencies are not derived from the light response. No circular step can be quoted, so the score is 0.

Assumptions & free parameters 5 free parameters · 4 assumptions · 0 invented entities

The paper does not claim a theoretical derivation. Its contributions are empirical and system-level. The central numbers depend on manually chosen component values, photodiode counts, an author-defined SNR threshold, and a prior linear deformation model. No new physical entities are introduced.

free parameters (5)
  • Bias resistors R1 and R2 = R1 = 1 kOhm, R2 = 470 Ohm
    Chosen by hand to keep the MP1X4266 tunnel diode biased near 150 mV; oscillation depends on this operating point.
  • Intermittent switch timing components R3, R4, CT and bypass diode = R3 = 1 MOhm, R4 = 33 MOhm, CT = 10 uF, bypass diode for 10% duty
    Set from 555 timer formulas to realize 60% duty for 25 photodiodes and 10% duty for 11 photodiodes; power and range claims depend on these values.
  • Photodiode configuration = 11, 25, and 40 photodiodes
    Configurations selected based on harvested power at 500 to 1000 lux; the headline 35 microwatt and 45.73 m results use 25 photodiodes.
  • SNR detection threshold = 5 dB
    Author-defined threshold for usable range; all range numbers change if this threshold changes.
  • Oscillator frequency tuning = 575-600 MHz via variable inductor
    The inductor is manually tuned to place the oscillation in the target band; the exact setting is not reported but is needed to replicate multi-tag frequency assignment.
assumptions (4)
  • standard math Standard TDO oscillation equations (Eqs. 1-2) from the GE Tunnel Diode Manual govern component selection.
    Used in Section 3.2 to guide R1, R2, L, and C selection; accepted without proof.
  • domain assumption The MP1X4266 tunnel diode has a stable negative differential resistance region between 65 and 200 mV.
    Taken from the datasheet I-V curve in Fig. 4; the bias network relies on this region.
  • domain assumption Ground plane deformation changes effective capacitance and inductance, and therefore oscillation frequency, approximately linearly.
    Borrowed from Wang et al. [60] and applied to all paper sensors in Section 5.1.
  • ad hoc to paper A 5 dB SNR threshold corresponds to reliable detection by the SDR receiver pipeline.
    Defined in Section 4 as the range limit; no independent validation is provided.

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Cite this review

Pith. "Pith review of RadioGami: Batteryless, Long-Range Wireless Paper Sensors Using Tunnel Diodes." pith.science (2026). https://pith.science/paper/AOY7IKFL

@misc{pith2026250606473,
  author       = {Pith},
  title        = {Pith review of: RadioGami: Batteryless, Long-Range Wireless Paper Sensors Using Tunnel Diodes},
  year         = {2026},
  howpublished = {\url{https://pith.science/paper/AOY7IKFL}},
  note         = {Machine review of arXiv:2506.06473}
}
abstract

Paper-based interactive RF devices have opened new possibilities for wireless sensing, yet they are typically constrained by short operational ranges. This paper introduces RadioGami, a method for creating long-range, batteryless RF sensing surfaces on paper using low-cost, DIY materials like copper tape, paper, and off-the-shelf electronics paired with an affordable radio receiver (approx. $20). We explore the design space enabled by RadioGami, including sensing paper deformations like bending, tearing, and origami patterns (Miura, Kresling) at ranges up to 45.73 meters. RadioGami employs a novel ultra-low power (35uW) switching circuit with a tunnel diode for wireless functionality. These surfaces can sustainably operate by harvesting energy using tiny photodiodes. We demonstrate applications that monitor object status, track user interactions (rotation, sliding), and detect environmental changes. We characterize performance, sensitivity, range, and power consumption with deployment studies. RadioGami advances sustainable, tangible, and batteryless interfaces for embodied interaction.

Figures

Figures reproduced from arXiv: 2506.06473 by the authors.

Figure 1
Figure 1. Applications and Interactivity of Batteryless, Long-Range Wireless RadioGami Tags. A. RadioGami tag integrated with a slider mechanism to indicate office presence status (e.g., “Out of Office,” “In Meeting”). B. Monitoring RadioGami tag frequencies using a software-defined radio interface. C. Miura-Ori-inspired surface with a RadioGami tag, demonstrating the combination of origami principles with wireless sensing. D… view at source ↗
Figure 2
Figure 2. Comparison of power consumption and operational range for flexible batteryless wireless sensing tags such as MARS [PITH_FULL_IMAGE:figures/full_fig_p005_2.png] view at source ↗
Figure 3
Figure 3. RadioGami System Overview. A. Physical layout of the RadioGami Circuit on Paper. B,C,D,E,F. Circuit components of the RadioGami tag. spectrum sensing and FCC compliance, broadcast frequency selection, RF antenna design, receiver setup, and the fabrication process for the RadioGami tag. 3.1 RadioGami Circuit and System Overview The RadioGami tag, depicted in [PITH_FULL_IMAGE:figures/full_fig_p007_3.png] view at source ↗
Figures from the paper (21 more)
Figure 4
Figure 4. Figure 4: Tunnel Diode Characteristics. A. Measured current-voltage (I-V) characteristics of the MP1X4266 tunnel diode, highlighting its negative differential resistance region. B. Power consumption of the MP1X4266 across varying bias voltages, demonstrating its ultra-low power …
Figure 5
Figure 5. Figure 5: TDO Circuit Power Characterization. A. Power output of photodiodes under varying illumination levels and configurations, demonstrating the impact of increasing light intensity on energy harvesting. B. Input power as a function of voltage, indicating the operational ran…
Figure 6
Figure 6. Figure 6: Fabrication process of a RadioGami tag. A. The copper trace is designed in Silhouette software. B. Copper tape is inserted into the Cameo 4 machine and cut. C. Excess copper is removed, components are added, and the final paper tag is assembled. Proc. ACM Interact. Mob…
Figure 7
Figure 7. Figure 7: B shows the results. At a near-zero distance, the 25-photodiode configuration produced a peak SNR of 45.3 dB, while the 11-photodiode configuration achieved 34.9 dB. The SNR dropped consistently with distance, reaching the minimum operational thresholds at 45.73 meters…
Figure 8
Figure 8. Figure 8: Effect of Light Intensity on RadioGami Tag Intermittent Switching. A. Oscillation frequency of the RadioGami tag over time under varying light intensities (1000 lux, 800 lux, and 500 lux). B. RadioGami Tag frequency as a function of light intensity from 500 to 1000 lux…
Figure 9
Figure 9. Figure 9: RadioGami Tag Orientation Experiment. A. Experimental setup where the RadioGami tag is attached to a cardstock plane and tilted in 15-degree increments relative to ambient light sources. B. Plot showing the frequency response of the tag at each inclination angle, illus…
Figure 10
Figure 10. Figure 10: RadioGami Tag Deformation Experiment. A. Experimental Setup with RadioGami circuit attached. B. Close-up of the device with labeled M3 screw and deformation region. C. Frequency change per mm of vertical deformation. 5 Interactive Paper Sensors and Surfaces Researcher…
Figure 11
Figure 11. Figure 11: Rotary Encoder Assembly. A. An experimenter uses a precision cutter to create the supporting structure of a Rotary Encoder. B. The paper wheel, designed with specific cutouts, is used inside the Rotary Encoder to facilitate smooth rotation and interaction. C. The Radi…
Figure 12
Figure 12. Figure 12: RadioGami Rotary Encoder Application. A. User rotating a paper wheel to alter computer visualization. B. Spectrogram showing frequency changes during an interaction. C. Frequency shifts corresponding to paper wheel rotation. Proc. ACM Interact. Mob. Wearable Ubiquitou…
Figure 13
Figure 13. Figure 13: RadioGami Slider Application. A. A sliding paper strip displays a user’s office status. B. SDR data captures frequency changes as the slider’s height varies during interaction. C. Frequency variation correlates with slider height and paper strip length. featuring a gl…
Figure 14
Figure 14. Figure 14: Interaction with a Miura-Ori sensor alters RadioGami Tag’s oscillation frequency. A. User compresses and expands a Miura-Ori sensor from left to right. B. SDR data shows frequency response changes. C. Box plot illustrates frequency changes across compressed, normal, a…
Figure 15
Figure 15. Figure 15: B shows how user interactions continuously affect frequency responses. Experiments and Results: In our experiments, we assessed the RadioGami tag’s oscillation frequency at three Kresling origami stages—normal, compressed, expanded—to quantify user interactions. In it…
Figure 16
Figure 16. Figure 16: RadioGami Package Tearing. A. The image shows a package with an embedded RadioGami tag, including photodiodes and a copper tape strip. B. The sequence illustrates the frequency response recorded as the user tears open the package, highlighting the RadioGami tag’s abil…
Figure 17
Figure 17. Figure 17: Deployment Study of RadioGami Tag with Slider. A. Top view of the deployment study setup, showing the placement of the RadioGami tag, slider, and receiver in the lab space. B. Change in RadioGami tag’s discretized oscillation frequency for different slider positions. …
Figure 18
Figure 18. Figure 18: Deployment Study of RadioGami Tag with Kresling Origami Sensor. A. Top-down view of the deployment setup showing the placement of the RadioGami tag, receiver location, and user workspaces within the lab and hallway area. The Kresling origami sensor was installed besid…
Figure 19
Figure 19. Figure 19: Activation of a RadioGami tag on a soap dispenser using a reed switch and a magnet attached to handle. [PITH_FULL_IMAGE:figures/full_fig_p023_19.png]
Figure 20
Figure 20. Figure 20: Activation of a RadioGami tag on a trashcan using a Tilt Ball Switch. [PITH_FULL_IMAGE:figures/full_fig_p024_20.png]
Figure 21
Figure 21. Figure 21: Activation of a RadioGami tag on a toaster oven door. [PITH_FULL_IMAGE:figures/full_fig_p024_21.png]
Figure 22
Figure 22. Figure 22: Event tracking of RadioGami tags over two days (60 hours) under varying light conditions. The graph illustrates [PITH_FULL_IMAGE:figures/full_fig_p025_22.png]
Figure 23
Figure 23. Figure 23: Frequency Variability of RadioGami Tags on Trash Can, Soap Dispenser, and Oven Door Over 60 hours. The box [PITH_FULL_IMAGE:figures/full_fig_p026_23.png]
Figure 24
Figure 24. Figure 24: Effect of Copper Trace Thickness on Repeated Deformations of the RadioGami Tag. The figure shows a positive correlation between copper thickness and durability under repeated bending. Thicker copper traces significantly increase the number of deformation cycles endure…

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Works this paper leans on

64 extracted references · 42 canonical work pages

  1. [1]

    Gregory D. Abowd. 2020. The Internet of Materials: A Vision for Computational Materials. IEEE Pervasive Comput. 19, 02 (April 2020), 56–62. doi:10.1109/MPRV.2020.2982475

  2. [2]

    AIRSPY. 2024. High Quality Software-Defined Radio, Redefined. https://airspy.com/

  3. [3]

    Lopes, Hugo Paisana, Aníbal T

    José Alberto, Cristina Leal, Cláudio Fernandes, Pedro A. Lopes, Hugo Paisana, Aníbal T. de Almeida, and Mahmoud Tavakoli. 2020. Fully Untethered Battery-Free Biomonitoring Electronic Tattoo with Wireless Energy Harvesting. Scientific Reports 10, 1 (2020), 5539. doi:10.1038/s41598-020-62097-6

  4. [4]

    Rodriguez, Gregory D

    Nivedita Arora, Ali Mirzazadeh, Injoo Moon, Charles Ramey, Yuhui Zhao, Daniela C. Rodriguez, Gregory D. Abowd, and Thad Starner. 2021. MARS: Nano-Power Battery-free Wireless Interfaces for Touch, Swipe and Speech Input. In The 34th Annual ACM Symposium on User Interface Software and Technology (UIST ’21) . Association for Computing Machinery, New York, NY...

  5. [5]

    Zhang, Fereshteh Shahmiri, Diego Osorio, Yi-Cheng Wang, Mohit Gupta, Zhengjun Wang, Thad Starner, Zhong Lin Wang, and Gregory D

    Nivedita Arora, Steven L. Zhang, Fereshteh Shahmiri, Diego Osorio, Yi-Cheng Wang, Mohit Gupta, Zhengjun Wang, Thad Starner, Zhong Lin Wang, and Gregory D. Abowd. 2018. SATURN: A Thin and Flexible Self-powered Microphone Leveraging Triboelectric Nanogenerator. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 2 (July 20...

  6. [6]

    Leah Buechley and Hannah Perner-Wilson. 2012. Crafting technology: Reimagining the processes, materials, and cultures of electronics. ACM Trans. Comput.-Hum. Interact. 19, 3, Article 21 (Oct. 2012), 21 pages. doi:10.1145/2362364.2362369

  7. [7]

    Xingru Chen, Yongkai Li, Xiaoyi Wang, and Hongyu Yu. 2022. Origami Paper-Based Stretchable Humidity Sensor for Textile-Attachable Wearable Electronics. ACS Applied Materials & Interfaces 14, 31 (2022), 36227–36237. doi:10.1021/acsami.2c08245 PMID: 35912486

  8. [8]

    Chen Cheng, Xin Li, Gang Xu, Yanli Lu, Sze Shin Low, Guang Liu, Long Zhu, Caidong Li, and Qingjun Liu. 2021. Battery-Free, Wireless, and Flexible Electrochemical Patch for In Situ Analysis of Sweat Cortisol via Near Field Communication. Biosensors and Bioelectronics 172 (2021), 112782. doi:10.1016/j.bios.2020.112782

Show all 64 references
  1. [9]

    Abowd, and HyunJoo Oh

    Tingyu Cheng, Zhihan Zhang, Bingrui Zong, Yuhui Zhao, Zekun Chang, Yejun Kim, Clement Zheng, Gregory D. Abowd, and HyunJoo Oh. 2023. SwellSense: Creating 2.5D interactions with micro-capsule paper. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems...

  2. [10]

    Federal Communications Commission. Apr. 25, 1989,. 47 CFR Part 15 – Radio Frequency Devices. https://www.ecfr.gov/current/title- 47/chapter-I/subchapter-A/part-15

  3. [11]

    Ruiyu Ding, Yi Heng Cheong, Ashiq Ahamed, and Grzegorz Lisak. 2021. Heavy Metals Detection with Paper-Based Electrochemical Sensors. Analytical Chemistry 93, 4 (2021), 1880–1888. doi:10.1021/acs.analchem.0c04247 PMID: 33430590

  4. [12]

    Tentzeris

    Aline Eid, Jimmy Hester, and Manos M. Tentzeris. 2020. A 5.8 GHz Fully-Tunnel-Diodes-Based 20 µW, 88mV, and 48 dB-Gain Fully- Passive Backscattering RFID Tag. In 2020 IEEE/MTT-S International Microwave Symposium (IMS) . IEEE, Los Angeles, CA, USA, 607–610. doi:10.1109/IMS30576...

  5. [13]

    Chuhan Gao, Yilong Li, and Xinyu Zhang. 2019. LiveTag: Sensing Human-Object Interaction Through Passive Chipless Wi-Fi Tags. GetMobile: Mobile Computing and Communications 22, 3 (Jan. 2019), 32–35. doi:10.1145/3308755.3308766

  6. [14]

    OSRAM Opto Semiconductors GmbH. 2020. BPW 34 ams OSRAM | Mouser. https://look.ams-osram.com/m/65d547088a09187c/original/ BPW-34.pdf

  7. [15]

    Morimoto, and Dinesh Bharadia

    Agrim Gupta, Daegue Park, Shayaun Bashar, Cedric Girerd, Nagarjun Bhat, Siddhi Mundhra, Tania K. Morimoto, and Dinesh Bharadia

  8. [16]

    Felix J. H. Hol, Benoit Hubert, Cees Dekker, and Ronald Dekker. 2019. Bacteria-in-paper, a versatile platform to study bacterial ecology. Ecology Letters 22, 3 (2019), 437–447. doi:10.1111/ele.13274

  9. [17]

    Meng-Ju Hsieh, Jr-Ling Guo, Chin-Yuan Lu, Han-Wei Hsieh, Rong-Hao Liang, and Bing-Yu Chen. 2019. RFTouchPads: Batteryless and Wireless Modular Touch Sensor Pads Based on RFID. In Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology (UIST ’19)....

  10. [18]

    Illuminating Engineering Society. 2025. Lighting Library. https://www.ies.org/standards/lighting-library/ Accessed: 2025-02-01

  11. [19]

    M-Pulse Microwave Inc. 2024. MP1X4266 Tunnel Diodes. https://www.mpulsemw.com/Tunnel_Diode.htm

  12. [20]

    Rajat Subhra Karmakar, Jhih-Fong Huang, Chia-Pei Chu, Ming-Han Mai, Jui-I Chao, Ying-Chih Liao, and Yen-Wen Lu. 2024. Origami- Inspired Conductive Paper-Based Folded Pressure Sensor with Interconnection Scaling at the Crease for Novel Wearable Applications. ACS Applied Materia...

  13. [21]

    Kunihiro Kato, Kaori Ikematsu, Yuki Igarashi, and Yoshihiro Kawahara. 2022. Paper-Woven Circuits: Fabrication Approach for Papercraft-based Electronic Devices. In Proceedings of the Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction (Daejeon, Re...

  14. [22]

    Smith, and David Wetherall

    Bryce Kellogg, Aaron Parks, Shyamnath Gollakota, Joshua R. Smith, and David Wetherall. 2014. Wi-fi backscatter: internet connectivity for RF-powered devices. SIGCOMM Comput. Commun. Rev. 44, 4 (aug 2014), 607–618. doi:10.1145/2740070.2626319

  15. [23]

    Taeil Kim, Amirhossein Hassanpoor Kalhori, Tae-Ho Kim, Chao Bao, and Woo Soo Kim. 2022. 3D designed battery-free wireless origami pressure sensor. Microsystems & Nanoengineering 8, 1 (2022), 120. doi:10.1038/s41378-022-00465-0

  16. [24]

    J.D. Kraus. 1949. The Helical Antenna. Proceedings of the IRE 37, 3 (1949), 263–272. doi:10.1109/JRPROC.1949.231279

  17. [25]

    Sam Lemey, Sam Agneessens, Patrick Van Torre, Kristof Baes, Jan Vanfleteren, and Hendrik Rogier. 2016. Wearable Flexible Lightweight Modular RFID Tag With Integrated Energy Harvester. IEEE Transactions on Microwave Theory and Techniques 64, 7 (2016), 2304–2314. doi:10.1109/TMT...

  18. [26]

    Carter, Josh Fromm, Scott E

    Hanchuan Li, Eric Brockmeyer, Elizabeth J. Carter, Josh Fromm, Scott E. Hudson, Shwetak N. Patel, and Alanson Sample. 2016. PaperID: A Technique for Drawing Functional Battery-Free Wireless Interfaces on Paper. InProceedings of the 2016 CHI Conference on Human Factors in Compu...

  19. [27]

    Hanchuan Li, Can Ye, and Alanson P. Sample. 2015. IDSense: A Human Object Interaction Detection System Based on Passive UHF RFID. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI ’15) . Association for Computing Machinery, New York, N...

  20. [28]

    Tianxing Li and Xia Zhou. 2018. Battery-Free Eye Tracker on Glasses. In Proceedings of the 24th Annual International Conference on Mobile Computing and Networking (New Delhi, India) (MobiCom ’18). Association for Computing Machinery, New York, NY, USA, 67–82. doi:10.1145/32415...

  21. [29]

    Xu Li, Junfei Tian, Gil Garnier, and Wei Shen. 2010. Fabrication of paper-based microfluidic sensors by printing. Colloids and Surfaces B: Biointerfaces 76, 2 (2010), 564–570. doi:10.1016/j.colsurfb.2009.12.023 Epub 2010 Jan 13, PMID: 20097546

  22. [30]

    Yongkai Li, Weixuan Liu, Yang Deng, Wei Hong, and Hongyu Yu. 2021. Miura-ori enabled stretchable circuit boards. npj Flexible Electronics 5, 1 (2021), 3. doi:10.1038/s41528-021-00099-8

  23. [31]

    Kurt, Shawn C

    Rongzhou Lin, Han-Joon Kim, Sippanat Achavananthadith, Selman A. Kurt, Shawn C. C. Tan, Haicheng Yao, Benjamin C. K. Tee, Jason K. W. Lee, and John S. Ho. 2020. Wireless battery-free body sensor networks using near-field-enabled clothing. Nature Communications 11, 1 (2020), 44...

  24. [32]

    Hong Liu, Yu Xiang, Yi Lu, and Richard M. Crooks. 2012. Aptamer-based origami paper analytical device for electrochemical detection of adenosine. Angewandte Chemie International Edition 51, 28 (2012), 6925–6928. doi:10.1002/anie.201202929

  25. [33]

    Linpeng Liu, Zhibin Jiao, Junqiu Zhang, Yuchen Wang, Changchao Zhang, Xiancun Meng, Xiaohu Jiang, Shichao Niu, Zhiwu Han, and Luquan Ren. 2021. Bioinspired, Superhydrophobic, and Paper-Based Strain Sensors for Wearable and Underwater Applications. ACS Applied Materials & Inter...

  26. [34]

    Vincent Liu, Aaron Parks, Vamsi Talla, Shyamnath Gollakota, David Wetherall, and Joshua R. Smith. 2013. Ambient backscatter: wireless communication out of thin air. In Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM (SIGCOMM ’13) . Association for Computing Machinery...

  27. [35]

    Yixin Liu, Hongzheng Li, and Min Zhang. 2021. Wireless Battery-Free Broad-Band Sensor for Wearable Multiple Physiological Measurement. ACS Applied Electronic Materials 3, 4 (2021), 1681–1690. doi:10.1021/acsaelm.0c01143

  28. [36]

    H. R. Lowry, J. Giorgis, E. Gottlieb, and R. C. Weischedel. 1961. General Electric Tunnel Diode Manual (first edition ed.). General Electric Company, Liverpool, New York. https://archive.org/details/GeTunnelDiodeManual

  29. [37]

    Muhammad Sarmad Mir, Wenqing Yan, Prabal Dutta, Domenico Giustiniano, and Ambuj Varshney. 2023. TunnelLiFi: Bringing LiFi to Commodity Internet of Things Devices. In Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications (HotMobile ’23). As...

  30. [38]

    Hadi Moeinnia, Danielle Jaye Agron, Carl Ganzert, Loren Schubert, and Woo Soo Kim. 2024. Wireless pressure monitoring system utilizing a 3D-printed Origami pressure sensor array. npj Flexible Electronics 8, 1 (2024), 21. doi:10.1038/s41528-024-00309-z

  31. [39]

    Ryuma Niiyama, Xu Sun, Lining Yao, Hiroshi Ishii, Daniela Rus, and Sangbae Kim. 2015. Sticky Actuator: Free-Form Planar Actuators for Animated Objects. In Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction (Stanford, California, U...

  32. [40]

    Masa Ogata and Masaaki Fukumoto. 2015. FluxPaper: Reinventing Paper with Dynamic Actuation Powered by Magnetic Flux. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (Seoul, Republic of Korea) (CHI ’15). Association Proc. ACM Interact. Mob...

  33. [41]

    Simon Olberding, Sergio Soto Ortega, Klaus Hildebrandt, and Jürgen Steimle. 2015. Foldio: Digital Fabrication of Interactive and Shape-Changing Objects With Foldable Printed Electronics. In Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology (C...

  34. [42]

    Philipose, J.R

    M. Philipose, J.R. Smith, Bing Jiang, A. Mamishev, S. Roy, and K. Sundara-Rajan. 2005. Battery-free Wireless Identification and Sensing. IEEE Pervasive Computing 4, 1 (Jan. 2005), 37–45. doi:10.1109/MPRV.2005.7

  35. [43]

    Narjes Pourjafarian, Marion Koelle, Fjolla Mjaku, Paul Strohmeier, and Jürgen Steimle. 2022. Print-A-Sketch: A Handheld Printer for Physical Sketching of Circuits and Sensors on Everyday Surfaces. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems ...

  36. [44]

    Jie Qi and Leah Buechley. 2010. Electronic popables: exploring paper-based computing through an interactive pop-up book. InProceedings of the Fourth International Conference on Tangible, Embedded, and Embodied Interaction (Cambridge, Massachusetts, USA) (TEI ’10). Association ...

  37. [45]

    Jie Qi and Leah Buechley. 2012. Animating paper using shape memory alloys. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Austin, Texas, USA) (CHI ’12). Association for Computing Machinery, New York, NY, USA, 749–752. doi:10.1145/2207676.2207783

  38. [46]

    Ramachandran Ramjee, Sumit Roy, and Krishna Chintalapudi. 2016. A Critique of FCC’S TV White Space Regulations. GetMobile: Mobile Comp. and Comm. 20, 1 (July 2016), 20–25. doi:10.1145/2972413.2972421

  39. [47]

    Smith, and Desney Tan

    Vaishnavi Ranganathan, Sidhant Gupta, Jonathan Lester, Joshua R. Smith, and Desney Tan. 2018. RF Bandaid: A Fully-Analog and Passive Wireless Interface for Wearable Sensors. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 2 (July 2018), 7...

  40. [48]

    Rajashekar Reddy, Manoj Gulati, and Ambuj Varshney

    C. Rajashekar Reddy, Manoj Gulati, and Ambuj Varshney. 2023. Beyond Broadcasting: Revisiting FM Frequency-band for Providing Connectivity to Next Billion Devices. In Proceedings of the 11th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems (ENSsys ’2...

  41. [49]

    Christian Rendl, David Kim, Sean Fanello, Patrick Parzer, Christoph Rhemann, Jonathan Taylor, Martin Zirkl, Gregor Scheipl, Thomas Rothländer, Michael Haller, and Shahram Izadi. 2014. FlexSense: a transparent self-sensing deformable surface. In Proceedings of the 27th Annual A...

  42. [50]

    RTL-SDR.COM. 2024. RTL-SDR.COM / HomePage. https://www.rtl-sdr.com/

  43. [51]

    Moteen Amin Shah, Adithya Bijoy, Manoj Gulati, Wenqing Yan, and Ambuj Varshney. 2023. Going Beyond Backscatter: Rethinking Low-Power Wireless Transmitters using Tunnel Diodes. In Proceedings of the 29th Annual International Conference on Mobile Computing and Networking (Madrid...

  44. [52]

    Inc Silhouette America. 2024. Silhouette Cameo 4. https://www.silhouetteamerica.com/featured-product/cameo

  45. [53]

    Smith, Kenneth P

    Joshua R. Smith, Kenneth P. Fishkin, Bing Jiang, Alexander Mamishev, Matthai Philipose, Adam D. Rea, Sumit Roy, and Kishore Sundara- Rajan. 2005. RFID-based techniques for human-activity detection. Commun. ACM 48, 9 (Sept. 2005), 39–44. doi:10.1145/1081992.1082018

  46. [54]

    Nirzaree Vadgama and Jürgen Steimle. 2017. Flexy: Shape-Customizable, Single-Layer, Inkjet Printable Patterns for 1D and 2D Flex Sensing. In Proceedings of the Eleventh International Conference on Tangible, Embedded, and Embodied Interaction (Yokohama, Japan) (TEI ’17). Associ...

  47. [55]

    Ambuj Varshney and Lorenzo Corneo. 2020. Tunnel emitter: tunnel diode based low-power carrier emitters for backscatter tags. In Proceedings of the 26th Annual International Conference on Mobile Computing and Networking . ACM, London United Kingdom, 1–14. doi:10.1145/3372224.3419199

  48. [56]

    Ambuj Varshney, Andreas Soleiman, and Thiemo Voigt. 2019. TunnelScatter: Low Power Communication for Sensor Tags using Tunnel Diodes. In The 25th Annual International Conference on Mobile Computing and Networking . ACM, Los Cabos Mexico, 1–17. doi:10.1145/3300061.3345451

  49. [57]

    Ambuj Varshney, Wenqing Yan, and Prabal Dutta. 2022. Judo: addressing the energy asymmetry of wireless embedded systems through tunnel diode based wireless transmitters. In Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services (Mo...

  50. [58]

    Smith, and Shyamnath Gollakota

    Anran Wang, Vikram Iyer, Vamsi Talla, Joshua R. Smith, and Shyamnath Gollakota. 2017. FM backscatter: enabling connected cities and smart fabrics. In Proceedings of the 14th USENIX Conference on Networked Systems Design and Implementation (NSDI’17) . USENIX Association, USA, 2...

  51. [59]

    Guanyun Wang, Tingyu Cheng, Youngwook Do, Humphrey Yang, Ye Tao, Jianzhe Gu, Byoungkwon An, and Lining Yao. 2018. Printed Paper Actuator: A Low-cost Reversible Actuation and Sensing Method for Shape Changing Interfaces. In Proceedings of the 2018 CHI Conference on Human Factor...

  52. [60]

    Wei Wang, Yanjun Wang, Shunxi Lou, Shuo Zhang, and Yatian Zhou. 2020. Effect of Ground Plane Deformation on Electrical Performance of Air Microstrip Antennas. International Journal of Antennas and Propagation 2020 (March 2020), 1–12. doi:10.1155/2020/4029780

  53. [61]

    Michael Wessely, Theophanis Tsandilas, and Wendy E. Mackay. 2018. Shape-Aware Material: Interactive Fabrication with ShapeMe. In Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology (Berlin, Germany) (UIST ’18). Association for Computing Machi...

  54. [62]

    Wenqing Yan and Ambuj Varshney. 2022. Enabling L3: low cost, low complexity and low power radio frequency sensing using tunnel diodes. In Proceedings of the 28th Annual International Conference on Mobile Computing And Networking (MobiCom ’22) . Association for Computing Machin...

  55. [63]

    Dingtian Zhang, Jung Wook Park, Yang Zhang, Yuhui Zhao, Yiyang Wang, Yunzhi Li, Tanvi Bhagwat, Wen-Fang Chou, Xiaojia Jia, Bernard Kippelen, Canek Fuentes-Hernandez, Thad Starner, and Gregory D. Abowd. 2020. OptoSense: Towards Ubiquitous Self- Powered Ambient Light Sensing Sur...

  56. [2023]

    ForceSticker: Wireless, Batteryless, Thin & Flexible Force Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7, 1, Article 13 (March 2023), 32 pages. doi:10.1145/3580793

Pith tools

Reviewed August 7, 2026 · model on record in the stance chip above.