Overview

Wearable sensing studies how devices such as watches, inertial sensors, physiological monitors, smart textiles, and glasses can measure movement, body signals, and interactions in daily life. Researchers use signal processing and machine learning—from handcrafted features and convolutional or recurrent networks to self-supervised and foundation models—to recognize activities, estimate health or movement states, and support assistive control. Evaluation commonly uses benchmarks such as PAMAP2, WISDM, WESAD, and SisFall, with subject-independent tests increasingly important for assessing performance on new people. A central challenge is making systems reliable across users, sensor placements, missing or noisy data, and real-world conditions while meeting privacy, battery, and on-device computing limits.

Latest papers

CardsList

130 papers24 papers in the last four weeks, up 26% on the four weeks before. 0.1% of all new papers.

  1. Monitoring and Prediction of Mood in Elderly People during Daily Life Activities

    Mar 11, 2026Daniel Bautista-Salinas, Joaquín Roca González, Inmaculada Méndez +1Affective ComputingHuman Behavior Prediction

  2. Bio-Inspired Self-Supervised Learning for Wrist-worn Accelerometer Data

    Mar 11, 2026Prithviraj Tarale, Kiet Chu, Abhishek Varghese +4Human Activity RecognitionSelf-Supervised Time Series Representation Learning

  3. VoxCare: Studying Natural Communication Behaviors of Hospital Caregivers through Wearable Sensing of Egocentric Audio

    Mar 11, 2026Tiantian Feng, Kleanthis Avramidis, Anfeng Xu +3Voice Activity DetectionWearable Sensing

  4. Ethical Fairness in Ubiquitous Health Sensing without Known Attributes

    Mar 10, 2026Shaily Roy, Harshit Sharma, Daniel A. Adler +3Algorithmic FairnessWearable Sensing

  5. Model-Free Co-Optimization of Manufacturable Sensor Layouts and Deformation Proprioception

    Mar 9, 2026Yingjun Tian, Guoxin Fang, Aoran Lyu +5Deformable Shape ReconstructionWearable Sensing

  6. DeepFeature: LLM-Empowered Context-aware Feature Generation for Wearable Biosignals

    Dec 9, 2025Kaiwei Liu, Yuting He, Bufang Yang +6Wearable SensingWearable Health Monitoring

  7. A Comparative Study of EMG- and IMU-based Gesture Recognition at the Wrist and Forearm

    Dec 8, 2025Soroush Baghernezhad, Elaheh Mohammadreza, Vinicius Prado da Fonseca +2Human Activity RecognitionWearable Sensing

  8. A Wearable Device Dataset for Mental Health Assessment Using Laser Doppler Flowmetry and Fluorescence Spectroscopy Sensors

    Feb 3, 2025Minh Ngoc Nguyen, Khai Le-Duc, Tan-Hanh Pham +7Medical DiagnosisMental Health