Unobtrusive, Continuous LIDAR-Based Measurement of Gait Characteristics at Home

Area of Science:

• Biomedical Engineering
• Rehabilitation Technology
• Human Movement Science

Background:

• Gait is a complex behavior reflecting physical and cognitive function.
• Subtle gait changes can indicate underlying health issues.
• Current gait assessment methods can be obtrusive and infrequent.

Purpose of the Study:

• To develop and validate a novel Light Detection and Ranging (LIDAR) system for unobtrusive gait characteristic assessment.
• To enable continuous, near real-time monitoring of gait parameters.
• To infer physical and cognitive states from gait data.

Main Methods:

• Utilized a Light Detection and Ranging (LIDAR) device to capture distance data from participants.
• Developed custom algorithms to process high-frequency distance signals.
• Analyzed gait characteristics including step size, cadence, and symmetry.

Main Results:

• The LIDAR system successfully captured detailed gait-related distance signals.
• Custom algorithms demonstrated the potential to estimate key gait parameters.
• The approach allows for unobtrusive, continuous gait monitoring.

Conclusions:

• A novel LIDAR-based system offers a promising approach for unobtrusive gait assessment.
• Continuous gait monitoring can provide insights into physical and cognitive health.
• This technology can establish individual baselines for detecting functional changes.