Time-of-flight Sensor-based Wearable System for Trip-hazard Environment Detection

Falls are a serious issue for the elderly, potentially causing severe injury or death. Fall risk assessment can help reduce these risks, but most existing studies mainly focus on flat surfaces instead of uneven terrains. This paper proposes a rule-based method using four Time-of-Flight sensors to de...

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Bibliographic Details
Main Authors: Chan, Chi-Yuan, Huang, Cheng-Yi, Ho, Yuan-Hao, Sung, Pi-Shan, Chen, Chien-Hsu, Lin, Chih-Lung
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
fall risk
Injuries
Legged locomotion
Older adults
Refining
Reliability
Risk management
Sensor systems
Stairs
time-of-flight (ToF) sensor
trip
Wearable sensors
wearable system
Online Access:Request full text
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Summary:Falls are a serious issue for the elderly, potentially causing severe injury or death. Fall risk assessment can help reduce these risks, but most existing studies mainly focus on flat surfaces instead of uneven terrains. This paper proposes a rule-based method using four Time-of-Flight sensors to detect trip-hazard terrain while walking. Ten young people were recruited to walk in four conditions: flat ground, threshold, stair ascending, and stair descending to validate the proposed method. The experimental results demonstrate that the system can detect obstacles with 100% accuracy.
ISSN:2693-0854
DOI:10.1109/GCCE62371.2024.10760888