Pith Number

pith:B5KSQVE6

pith:2026:B5KSQVE6NDRJZ7XTU5TFADYKH3

not attested not anchored not stored refs resolved

Magical Touch: Transforming Raw Capacitive Streams into Expressive Hand-Touchscreen Interaction

Xiaoyu Zhang, Xizi Gong, Yizhong Zhang, Yuanlei Guo

Raw capacitive data from standard touchscreens can drive natural interaction with arbitrary hand gestures and varying pressure.

arxiv:2605.12902 v1 · 2026-05-13 · cs.HC

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Record completeness

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3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

By directly integrating raw touchscreen sensor data into the interaction loop, our method allows users to interact with the screen naturally and efficiently using arbitrary hand gestures on existing touchscreen devices.

C2weakest assumption

That raw capacitive readings contain sufficient, stable information about arbitrary hand geometry and contact intensity to support real-time, reliable interaction without additional calibration or hardware.

C3one line summary

Magical Touch processes raw capacitive streams to enable expressive, geometry- and intensity-aware hand interactions on standard touchscreens, demonstrated via a real-time physics game.

References

18 extracted · 18 resolved · 0 Pith anchors

[1] Karan Ahuja, Paul Streli, and Christian Holz. 2021. TouchPose: hand pose pre- diction, depth estimation, and touch classification from capacitive images. In The 34th Annual ACM Symposium on User Inter 2021 · doi:10.1145/3472749.3474801

[2] Robert A Boie. 1984. Capacitive impedance readout tactile image sensor. In Proceedings. 1984 IEEE International Conference on Robotics and Automation, Vol. 1. Magical Touch: Transforming Raw Capacitiv 1984 · doi:10.1109/robot.1984.1087186

[3] Frederick Choi, Sven Mayer, and Chris Harrison. 2021. 3D hand pose estimation on conventional capacitive touchscreens. InProceedings of the 23rd International Conference on Mobile Human-Computer Inter 2021 · doi:10.1145/3447526

[4] Paul Dietz and Darren Leigh. 2001. DiamondTouch: a multi-user touch technology. InProceedings of the 14th annual ACM symposium on User interface software and technology. 219–226. doi:10.1145/502348.50 2001 · doi:10.1145/502348.502389

[5] Zeyuan Huang, Cangjun Gao, Haiyan Wang, Xiaoming Deng, Yu-Kun Lai, Cuixia Ma, Sheng-feng Qin, Yong-Jin Liu, and Hongan Wang. 2024. SpeciFingers: Finger Identification and Error Correction on Capacitiv 2024 · doi:10.1145/3643559

Receipt and verification

First computed	2026-05-18T03:09:10.697980Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

0f5528549e68e29cfef3a766500f0a3eedef7ea143fff273f9c5bde09aa4f006

Aliases

arxiv: 2605.12902 · arxiv_version: 2605.12902v1 · doi: 10.48550/arxiv.2605.12902 · pith_short_12: B5KSQVE6NDRJ · pith_short_16: B5KSQVE6NDRJZ7XT · pith_short_8: B5KSQVE6

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/B5KSQVE6NDRJZ7XTU5TFADYKH3 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 0f5528549e68e29cfef3a766500f0a3eedef7ea143fff273f9c5bde09aa4f006

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "8b257e2ed3c80d19e0ab412cdc8c5e40e002088eff1efbf647dfff271f4a81b5",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.HC",
    "submitted_at": "2026-05-13T02:25:37Z",
    "title_canon_sha256": "9d6988d16d35c59c75ee8da126b59bfeb1882a3a6f09353c709f75982adebc4f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.12902",
    "kind": "arxiv",
    "version": 1
  }
}