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Development of human−machine interaction strategies for intelligent walking aids
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Hansheng WANG1, 2, Yanyu ZHANG1, 2, 3, Jiangzhen GUO1, 2, Chunjing TAO1, 2, *, Yubo FAN1, 2, 3, *
Science & Technology Review | 2025, 43(13) : 78 - 89
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Science & Technology Review | 2025, 43(13): 78-89
• Papers •
Development of human−machine interaction strategies for intelligent walking aids
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Hansheng WANG1, 2, Yanyu ZHANG1, 2, 3, Jiangzhen GUO1, 2, Chunjing TAO1, 2, *, Yubo FAN1, 2, 3, *
Affiliations
  • 1. School of Medical Science and Engineering, Beihang University, Beijing 100191, China
  • 2. Beijing Advanced Innovation Center for Biomedical Engineering, Beijing 102433, China
  • 3. School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
Published: 2025-07-13 doi: 10.3981/j.issn.1000-7857.2025.02.00138
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With the intensification of global population aging, smart walkers, as rehabilitative assistive devices that enhance the quality of life and independence for individuals with gait disorders, have garnered widespread attention regarding the development of their human−machine interaction (HMI) strategies. This paper surveys the research progress on HMI technologies for smart walkers: Firstly, the application background and market demand for smart walkers are introduced. Subsequently, HMI technologies based on motion signals, visual signals, and other interaction modalities (such as physiological electrical signals and virtual reality) are explored. Despite significant advances in related research on smart walker HMI, challenges persist in areas such as motion intention recognition, navigation and obstacle avoidance, and interaction safety. Future research should focus on optimizing motion intention recognition algorithms, developing navigation strategies for complex environments, strengthening research on interaction safety, and promoting the development of multi−modal HMI technologies. These endeavors aim to achieve more accurate intention recognition and a higher level of synergy within the human−machine−environment systems, ultimately assisting individuals with gait disorders in achieving their independent living aspirations.

smart walker  /  human−machine interaction (HMI)  /  intention recognition  /  navigation and obstacle avoidance  /  multi−modal interaction
Hansheng WANG, Yanyu ZHANG, Jiangzhen GUO, Chunjing TAO, Yubo FAN. Development of human−machine interaction strategies for intelligent walking aids[J]. Science & Technology Review, 2025 , 43 (13) : 78 -89 . DOI: 10.3981/j.issn.1000-7857.2025.02.00138
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Article Info
doi: 10.3981/j.issn.1000-7857.2025.02.00138
  • Receive Date：2025-02-06
  • Online Date：2025-12-16
  • Published：2025-07-13
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History
  • Received：2025-02-06
  • Revised：2025-06-16
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Affiliations
    1. School of Medical Science and Engineering, Beihang University, Beijing 100191, China
    2. Beijing Advanced Innovation Center for Biomedical Engineering, Beijing 102433, China
    3. School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
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