Smartphone-based gait recordings provide data for gait recognition across 'in the wild' categories. The content supports deep learning-based analysis of gait patterns captured by smartphones.
Use Cases
- Train deep learning models for gait recognition using smartphone data
- Develop motion-based authentication systems using gait recordings
- Analyze the impact of 'in the wild' environmental factors on gait recognition accuracy
Strengths
- Includes gait recordings captured via smartphones
- Features 'in the wild' data collection to simulate authentic user behavior
- Targeted at deep learning-based gait recognition tasks