Gait Recognition
Gait recognition identifies individuals by analyzing their unique walking style and body movements from video or sensor data.
Overview
Gait recognition captures a person's walking pattern using video cameras or wearable sensors, extracting features like stride length, joint angles, and motion dynamics. Since gait can be captured at a distance without user cooperation, it is valuable for surveillance and forensic applications. Environmental factors and clothing can affect accuracy, so robust algorithms are essential.
References
Frequently Asked Questions
What is gait recognition?
Gait recognition analyzes an individual’s unique walking pattern and body movements, captured via video or wearable sensors, to identify them.
How accurate is gait recognition?
Gait recognition can achieve moderate accuracy in controlled settings, but performance may degrade under varying speeds, shoe types, or carrying conditions.
What factors can affect gait recognition accuracy?
Factors like clothing, walking surface, speed, and camera angle can impact accuracy, requiring robust normalization and feature extraction methods.