Pith Number

pith:6WTF5T3M

pith:2026:6WTF5T3MQSCCE27D4KTNHBNMIW

not attested not anchored not stored refs resolved

Efficient Sensor Fusion for Gesture Recognition on Resource-Constrained Devices

Andrea Giudici, Christian Veronesi, Franco Zappa, Pietro Bartoli, Tommaso Bondini

Fusing low-resolution ToF depth and IR thermal data with grouped convolutions lets microcontrollers classify seven gestures at 92.3 percent accuracy.

arxiv:2605.13462 v1 · 2026-05-13 · cs.LG

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\usepackage{pith}
\pithnumber{6WTF5T3MQSCCE27D4KTNHBNMIW}

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1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

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

The proposed fusion strategy significantly outperforms single-sensor baselines with an accuracy of 92.3% and a macro F1-score of 0.93.

C2weakest assumption

The custom dataset of 7 static gestures and k-fold cross-validation results are representative of real-world wearable use cases and that the grouped-convolution architecture provides optimal fusion without overfitting.

C3one line summary

Fusing 8x8 ToF and IR sensors with a 6343-parameter CNN achieves 92.3% accuracy and 0.93 macro F1 on 7 static gestures while running at millisecond latency and 50 mW on STM32 MCUs.

References

26 extracted · 26 resolved · 0 Pith anchors

[1] Hand gesture recognition on edge devices: Sensor technologies, algo- rithms, and processing hardware, 2025

[2] Augmented reality smart glasses use and acceptance: A literature review, 2023

[3] User interactions for augmented reality smart glasses: A comparative evaluation of visual contexts and interaction gestures, 2019 · doi:10.3390/app9153171

[4] Speculative privacy concerns about ar glasses data collec- tion, 2023

[5] Energy-aware human activity recognition for wearable devices: A comprehensive review, 2024

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-18T02:44:41.687277Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f5a65ecf6c8484226be3e2a6d385ac458a12b472d24597e3d85c172d53628bbd

Aliases

arxiv: 2605.13462 · arxiv_version: 2605.13462v1 · doi: 10.48550/arxiv.2605.13462 · pith_short_12: 6WTF5T3MQSCC · pith_short_16: 6WTF5T3MQSCCE27D · pith_short_8: 6WTF5T3M

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/6WTF5T3MQSCCE27D4KTNHBNMIW \
  | 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: f5a65ecf6c8484226be3e2a6d385ac458a12b472d24597e3d85c172d53628bbd

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "87556f0234acd06922aac739ccee5bfac0f3a7f73e78b011a3d8afe9db1542a9",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-13T12:53:22Z",
    "title_canon_sha256": "6e6e18713b327be6ba6e3c663588453e12b0fff571a5615a9e169a205a11a700"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.13462",
    "kind": "arxiv",
    "version": 1
  }
}