Shoes as a Platform for Vision
Abstract
The authors explore the use of a shoe-mounted camera as a sensory system for wearable computing. They demonstrate tools useful for gait analysis, obstacle detection, and context recognition. Using only visual information, they detect periods of stability and motion during walking. In the stable phase, the foot can be assumed to be parallel to the ground plane. In this condition, the floor dominates the lower part of the camera's view, and they show that it can be segmented out from the remainder of the scene, leaving walls and obstacles. They also demonstrate floor surface recognition for context awareness.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2003
- Accession Number
- ADA434688
Entities
People
- Charles C. Kemp
- Paul Fitzpatrick
Organizations
- Massachusetts Institute of Technology