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pith:EAXWJMPE

pith:2026:EAXWJMPE6FVBSH5GI35CHZCSFT
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MicroBi-ConvLSTM: An Ultra-Lightweight Efficient Model for Human Activity Recognition on Resource Constrained Devices

Mridankan Mandal

MicroBi-ConvLSTM deploys successfully on all eight HAR benchmarks across both Pico 2 and ESP32 microcontrollers with an average of 11.4K parameters.

arxiv:2602.06523 v3 · 2026-02-06 · cs.CV · cs.HC

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3 Author claim open · sign in to claim
4 Citations open
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Claims

C1strongest claim

MicroBi-ConvLSTM is the only architecture achieving full 8/8 dataset coverage on both platforms, with 72.8 ms average latency on Pico 2 and 97.9% PyTorch parity on ESP32, while all three baselines show partial or complete deployment failure.

C2weakest assumption

That the reported parameter count and accuracy hold after accounting for operating-system overhead on the target microcontrollers and that the chosen eight benchmarks are representative enough to generalize to real-world deployment without additional tuning.

C3one line summary

MicroBi-ConvLSTM achieves competitive accuracy on eight HAR benchmarks with only 11.4K parameters and successful full deployment on two microcontroller platforms where prior models fail.

Formal links

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Receipt and verification
First computed 2026-05-20T00:03:05.027582Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

202f64b1e4f16a191fa646fa23e4522cf50b35d34834f53598470ca80f38069c

Aliases

arxiv: 2602.06523 · arxiv_version: 2602.06523v3 · doi: 10.48550/arxiv.2602.06523 · pith_short_12: EAXWJMPE6FVB · pith_short_16: EAXWJMPE6FVBSH5G · pith_short_8: EAXWJMPE
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EAXWJMPE6FVBSH5GI35CHZCSFT \
  | 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: 202f64b1e4f16a191fa646fa23e4522cf50b35d34834f53598470ca80f38069c
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-02-06T09:26:29Z",
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