Paper

OCD-Sense: A Novel Wearable Sensor Dataset and Transformer Framework for Recognizing OCD-Relevant Behaviors

Venue listed2026Added Nov 1, 2026

WiML @ NeurIPS 2026

TL;DR

Objective and unobtrusive monitoring of repetitive behaviors could complement self-reported assessment of obsessive-compulsive disorder (OCD), but existing human activity recognition (HAR) datasets primarily target general activities of daily living and often lack behaviors relevant to OCD. The activities include personal-hygiene and house-cleaning behaviors relevant to contamination-related compulsions, together with activities of daily living, and are organized into six recognition classes: face washing, foot washing, hand washing, toothbrushing, house cleaning, and other activities.

  • Form factor: smartphone + smartwatch (50 Hz)

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Tasks & signals

Tasks

Activity recognition

Signals

Keywords

HAROCDTransformerWiMLNeurIPS 2026Wearable

How it works

How Method works: Setup → Method → TargetSetup: Signals (imu); Form factor (smartphone + smartwatch (50 Hz)). Method: Method (Transformer). Target: Activity recognition.SetupSignals: imuxyzSignalsimuForm factor: smartphone + smartwatch (50 Hz)Form factorsmartphone + smartwatch (50 Hz)Method×NMethodTransformerTargetActivity recognitionActivity recognition

Cite this paper

Cite this paper with the fields recorded here. Check it against the publisher before submitting.

OCD-Sense: A Novel Wearable Sensor Dataset and Transformer Framework for Recognizing OCD-Relevant Behaviors. (2026). WiML @ NeurIPS 2026. https://openreview.net/forum?id=AHZugsKZSH
@inproceedings{khanocdsensewear2026ocdsense,
  title         = {{OCD-Sense: A Novel Wearable Sensor Dataset and Transformer Framework for Recognizing OCD-Relevant Behaviors}},
  year          = {2026},
  booktitle     = {WiML @ NeurIPS 2026},
  url           = {https://openreview.net/forum?id=AHZugsKZSH}
}

Source metadata: 2026

Record updated Nov 8, 2026

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