Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Heads Up and Camera Down: A Vision-Based Tracking Modality for Mobile Mixed Reality
IEEE Transactions on Visualization and Computer Graphics
Design and Analysis of a Portable Indoor Localization Aid for the Visually Impaired
International Journal of Robotics Research
Mobility enhanced localization in outdoor environments
Wireless Communications & Mobile Computing - Wireless Technologies Advances for Emergency and Rural Communications
Wireless, multipurpose in-home health monitoring platform: two case trials
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
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Traditional inertial-sensor-based pedometers are not user-friendly because of the limited availability of inertial sensors in existing mobile computing devices. To remedy the drawback, we propose a visual pedometer scheme. It employs a body-mounted camera to capture images and measures the number of steps based on a time-series analysis of image features. We address several key issues raised in the measurement and demonstrate the applicability of the proposed visual pedometer through a four-second experiment. Compared with traditional inertial-sensor-based pedometers, the proposed visual pedometer could be more user-friendly because of the extensive use of camera phones and digital cameras.