Wearable technologies for assisted mobility in the real world
Abstract
Abstract Mobility impairments from aging, injury, or medical conditions limit independence and social participation. Conventional assistive devices lack adaptability in complex environments. Recent wearable technologies integrating neural sensing, electronics, and co-design offer personalized, responsive mobility support. This perspective focuses on advances in wearable sensing and multimodal fusion for intent recognition, environmental interaction, and adaptive control in exoskeletons, prosthetics, smart wheelchairs, and navigation systems. Emphasizing human-in-the-loop and cognitive–sensorimotor integration, it outlines emerging trends and challenges, promoting intelligent, user-centered solutions to restore function and enhance autonomy, accessibility, and inclusion for individuals with mobility impairments.
Article Details
Authors (46)
Shuo Gao
School of Instrumentation and Optoelectronic Engineering, Beihang University
Jianan Chen
The Key Laboratory of Computational Chemistry and Drug Design, State Key Laboratory of Chemical Oncogenomics, School of Chemical Biology and Biotechnology
Yunjia Xia
Xuemeng Li
Weihao Ma
Huixin Yang
Jinchen Li
Xinkai Zhou
Tianyu Jia
Yuchen Xu
Julie Uchitel
Dean Ta
Peng Qi
Junbo Ge
Yi Guo
Yajie Qin
Inseung Kang
Wenyao Xu
He Li
Jinke Chang
Siming Zuo
Shiwei Wang
Shan Luo
Letizia Gionfrida
Chen Hu
Division of Quantitative Sciences Sidney Kimmel Comprehensive Cancer Center Johns Hopkins University School of Medicine Baltimore Maryland USA
Shuqin Dong
Yongxin Guo
Yixuan Yuan
Haixia Zhang
Haotian Chen
Yu Pan
College of Materials Science and Engineering and Center of Quantum Materials & Devices
Chenyun Dai
Qinyuan Ren
Rui Loureiro
Tom Carlson
Wei Chen
Yuanting Zhang
Panicos Kyriacou
Hadi Heidari
Kia Nazarpour
Themis Prodromakis
Alexander Casson
Tamar R. Makin
Gert Cauwenberghs
Dario Farina
Hubin Zhao