Pith Number

pith:EBQC2MCL

pith:2026:EBQC2MCLHSU53SBPJSMFYROH5N

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WirelessSenseLLM: Zero-Shot Human Activity Understanding by Bridging Wireless Signals and Human Language

Jiawei Yuan, Kai Zeng, Long Jiao, Mahmuda Keya, Sneh Pillai

WirelessSenseLLM uses an adapter to map unsegmented Wi-Fi CSI signals into language space for zero-shot motion descriptions.

arxiv:2605.14070 v1 · 2026-05-13 · cs.NI

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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

We present WirelessSenseLLM, a language-driven framework that leverages large language models (LLMs) to enable zero-shot human motion understanding from unsegmented Wi-Fi Channel State Information (CSI).

C2weakest assumption

That the CSI-to-Language Adapter and cross-modal projection mechanism can reliably map time-series CSI features into a language-aligned semantic space to support zero-shot generation of descriptions for sequential and overlapping motions without segmented training data.

C3one line summary

WirelessSenseLLM bridges unsegmented Wi-Fi CSI signals to LLMs via a CSI-to-Language Adapter for zero-shot human activity understanding and reasoning.

References

33 extracted · 33 resolved · 3 Pith anchors

[1] Human activity recognition using csi information with nexmon, 2021

[2] R-dehm: Csi-based robust duration estimation of human motion with wifi, 2019

[3] Towards position-independent sensing for gesture recognition with wi-fi, 2021

[4] Sensing technology for human activity recognition: A comprehensive survey, 2020

[5] Wireless sensing for human activity: A survey, 2019

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-17T23:39:12.427519Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

20602d304b3ca9ddc82f4c985c45c7eb6e20be952142389a738d1151e9846c6e

Aliases

arxiv: 2605.14070 · arxiv_version: 2605.14070v1 · doi: 10.48550/arxiv.2605.14070 · pith_short_12: EBQC2MCLHSU5 · pith_short_16: EBQC2MCLHSU53SBP · pith_short_8: EBQC2MCL

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/EBQC2MCLHSU53SBPJSMFYROH5N \
  | 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: 20602d304b3ca9ddc82f4c985c45c7eb6e20be952142389a738d1151e9846c6e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "3ee9aa04e99bf08897a673131691dd847d448b762447172e1eef4e66136f1b84",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.NI",
    "submitted_at": "2026-05-13T19:47:07Z",
    "title_canon_sha256": "d45eb84e7b7f3cd4582bdee720e71b7780c0ecb61e701ea46137fddfe53bdd75"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14070",
    "kind": "arxiv",
    "version": 1
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}