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State-of-the-Art Review on Wearable Obstacle Detection Systems Developed for Assistive Technologies and Footwear
Anna M Joseph1, Azadeh Kian1, Rezaul Begg1
1Institute for Health and Sport, Victoria University, Melbourne, VIC 3000, Australia.
Sensors (Basel, Switzerland)
|March 11, 2023
Summary
Assistive shoe sensors use smart technology to detect walking hazards, helping prevent falls. This research advances wearable devices for safer pedestrian mobility and reduced fall-related injuries.
Area of Science:
- Biomechanics and Assistive Technology
- Human-Computer Interaction
- Robotics
Background:
- Independent walking is crucial for quality of life.
- Perceiving environmental hazards is key to safe locomotion.
- Falls pose significant financial and human costs.
Purpose of the Study:
- To review gait-assisting wearable sensors for hazard detection.
- To explore advancements in shoe-mounted obstacle detection systems.
- To highlight research towards safer walking technologies.
Main Methods:
- Review of literature on wearable sensors for gait assistance.
- Analysis of smart wearable technologies integrating motion sensors and machine learning.
- Focus on shoe-mounted systems for foot-obstacle interaction monitoring.
Main Results:
- Development of shoe-mounted sensor systems for tripping risk identification.
- Integration of motion sensors and machine learning for enhanced obstacle detection.
- Progress in wearable technology for real-time hazard alerts.
Conclusions:
- Wearable sensors show promise for improving pedestrian safety.
- Advancements in technology are paving the way for practical, low-cost fall prevention devices.
- This research area is critical for reducing fall injuries and associated costs.
