Suspension-Type Fall-Impact-Mitigation Robot Performance in Simulated Living Spaces

81.0 MB of video data from Kenji Kato, last updated May 26, 2026, documents a study evaluating a suspension-type fall-impact-mitigation robot. The research employed high-performance, markerless motion-capture technology to measure fall velocities across five scenarios, including forward/backward falls and tripping on slopes. Results showed the robot reduced hip velocity upon ground contact to below 2.0 m/s in 98.9% of measurements.

Use Cases

• Evaluate robot-assisted fall speed reduction based on motion-capture velocity data
• Assess device usability in care settings based on survey results from healthcare professionals
• Compare injury risk mitigation across different fall scenarios like sliding from a chair or tripping on slopes
• Benchmark robot performance against the biomechanical reference threshold of 2.0 m/s

Strengths

• Includes high-performance, markerless motion-capture technology for precise velocity measurement
• Reports a specific, high-performance result: hip velocities remained below 2.0 m/s in 98.9% of measurements
• Tested across five distinct fall scenarios in a simulated living lab environment

Limitations

• Dataset scale is limited at 81.0 MB, suggesting a constrained number of video recordings
• Column-level documentation is absent; field semantics must be inferred after download
• Data may reflect bias inherent to the specific simulated lab environment used

Provenance

Source

figshare

Collection Method

Experimental study using markerless motion-capture technology in a simulated living lab.

Freshness

Last updated 2026-05-26 05:35:58