Recent advances in intelligent wearable systems: from multiscale biomechanical features towards human motion intent prediction

npj Artificial Intelligence 2026 Open access

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Authors: Shijia Chen, Chang Peng, Bao Yang, Jiaxiang Lin, Licheng Zhou, Zhenyu Jiang, Zejia Liu, Yiping Liu, Liqun Tang
DOI: 10.1038/s44387-026-00083-5
Cited by: 7
References: 268

Abstract

Human motion intent prediction (HMIP) combines data sources, feature extraction, modeling and prediction algorithms, etc., which is the key for providing artificial intelligent assistance and protection from intelligent wearable systems. HMIP has been intensively explored. A timely and comprehensive overview of this field is provided. Several main aspects are covered: biomechanical features of human motion, architecture of intelligent wearable systems, data processing and algorithm designs, application scenarios and challenges.

Fields of Study & Subjects

Advanced Sensor and Energy Harvesting Materials Prosthetics and Rehabilitation Robotics Ergonomics and Musculoskeletal Disorders

Publication details

Journal / source
npj Artificial Intelligence
Publisher
Springer Science and Business Media LLC
Volume
2
Issue
1
Publication date
7 March 2026
Language
EN