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Machine learning

Enhancing Wearer Adaptation in Exosuits Through Bi-Directional Adaptation

Strategic Insights

— 2 min read

Exosuit adaptation, a crucial aspect of human-machine interaction, has been investigated in a recent study by Chinese researchers. The findings highlight the importance of bi-directional adaptation, where both the exosuit and the wearer adapt to each other's needs. The study reveals that precise gait phase prediction and dynamic adjustment of force amplitude are key factors in promoting bi-directional adaptation. Using a soft exosuit assisting hip flexion, the researchers observed that naive users adapted to the exosuit after just 123 steps, on average, when using the Sigmoid growth model.

Key Takeaways:

  • The study found that bi-directional adaptation is crucial for exosuit-assisted locomotion, with both the exosuit and the wearer adapting to each other's needs.
  • Precise gait phase prediction is essential for effective exosuit assistance, as models trained on data collected with the exosuit outperformed those trained without it.
  • Dynamic adjustment of force amplitude, achieved through progressive increases in amplitude, facilitated human-exosuit adaptation, with the Sigmoid model being the most effective.
  • The study highlights the importance of considering human-exosuit adaptation when introducing exosuit assistance, particularly for naive users.
  • The researchers concluded that a gradual increase in assistive force magnitude is more effective than a constant amplitude approach in facilitating human-exosuit adaptation.
  • The study highlights the potential of exosuits in assisting individuals with mobility impairments or injuries, by providing them with enhanced mobility and independence.
  • The results of the study have significant implications for the development of exosuits in various fields, including healthcare, manufacturing, and the military.
  • The researchers used a soft exosuit assisting hip flexion in their experiments, and observed a significant improvement in wearer adaptation using the Sigmoid growth model.
  • The study reveales that the exosuit assistance progressively increased with each step as the wearer adapts, and two methods for progressively increasing the amplitude were investigated, namely Linear and Sigmoid.

Statistics:

  • The researchers found that naive users adapted to the exosuit after just 123 steps, on average, when using the Sigmoid growth model.
  • The study used a soft exosuit assisting hip flexion, and monitored Root Mean Square variations of electromyographic signals from the Rectus Femoris muscle at each step.
  • The Sigmoid model outperformed the Linear model in facilitating human-exosuit adaptation, with a mean adaptation time of 123 steps.
  • The study investigated two methods for progressively increasing the amplitude of the assistive force, namely Linear and Sigmoid.

Sources:

  • A Study On Enhancing Wearer Adaptation Through Accurate Gait Phase Prediction and Gradual Increase In Assistive Force Magnitude In Exosuits. Ieee Robotics and Automation Letters, 2025;10(8):7803-7810.
  • Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Guangdong Prov Key Lab Robot & Intelligent Syst, Shenzhen 518055, People's Republic of China.
  • National Key R&D Program of China, National Natural Science Foundation of China (NSFC), Guangdong Basic and Applied Basic Research Foundation, China Postdoctoral Science Foundation, Shenzhen Science and Technology Program, Chinese Academy of Sciences, Science and Technology Innovation Program of Hunan Province.

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