Pith Number

pith:6G7HNJSF

pith:2026:6G7HNJSFX3LJG3UQPS47BEM22S

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Lightweight Cross-Device Sleep Tracking on the WeBe Wearable Platform

Ehsan Kourkchi, Houman Homayoun, Krishi Prashant Shah, Setareh Rafatirad, Wei Shao, Zequan Liang

A simple pipeline on raw accelerometer signals tracks sleep across wearables with 27 to 42 minute error

arxiv:2605.15719 v1 · 2026-05-15 · cs.ET

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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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Claims

C1strongest claim

The lightweight pipeline achieves a mean absolute error of 41.6 minutes in Total Sleep Time on MMASH and 27.4 minutes on real-world WeBe data from three participants, demonstrating accurate and generalizable sleep tracking using a simple and reproducible pipeline.

C2weakest assumption

That a single globally calibrated threshold applied after normalized scoring on epoch-level activity features will generalize across different wearable hardware, participant populations, and real-world conditions without device-specific retraining or post-hoc adjustments.

C3one line summary

Lightweight pipeline converts raw accelerometer data to epoch features, applies smoothing and normalized scoring, then uses a globally calibrated threshold for sleep/wake classification, reporting TST errors of 27-42 minutes on MMASH and WeBe data.

References

19 extracted · 19 resolved · 0 Pith anchors

[1] Christine Acebo and Monique K LeBourgeois. 2006. Actigraphy.Respiratory care clinics of North America12, 1 (2006), 23–30 2006

[2] Ametris. 2026. ActiGraph LEAP | Ametris Wearable Devices. https://ametris. com/actigraph-leap. [Online; accessed May 2026] 2026

[3] Greg Atkinson and Damien Davenne. 2007. Relationships between sleep, physical activity and human health.Physiology & behavior90, 2-3 (2007), 229–235 2007

[4] Roger J Cole, Daniel F Kripke, William Gruen, Daniel J Mullaney, and J Christian Gillin. 1992. Automatic sleep/wake identification from wrist activity.Sleep15, 5 (1992), 461–469 1992

[5] Massimiliano De Zambotti, Nicola Cellini, Aimee Goldstone, Ian M Colrain, and Fiona C Baker. 2019. Wearable sleep technology in clinical and research settings. Medicine and science in sports and exerc 2019

Receipt and verification

First computed	2026-05-20T00:01:14.527697Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f1be76a645bed6936e907cb9f0919ad493b2f5d7aba69d3d8c9fa45cfd92d118

Aliases

arxiv: 2605.15719 · arxiv_version: 2605.15719v1 · doi: 10.48550/arxiv.2605.15719 · pith_short_12: 6G7HNJSFX3LJ · pith_short_16: 6G7HNJSFX3LJG3UQ · pith_short_8: 6G7HNJSF

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/6G7HNJSFX3LJG3UQPS47BEM22S \
  | 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: f1be76a645bed6936e907cb9f0919ad493b2f5d7aba69d3d8c9fa45cfd92d118

Canonical record JSON

{
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    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.ET",
    "submitted_at": "2026-05-15T08:15:15Z",
    "title_canon_sha256": "ec7ce4942fa6c9bf2cc38f168794dff008395c90606e9097c6a1427393c1b634"
  },
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  "source": {
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    "kind": "arxiv",
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