@inproceedings{69a30c9bba924564b6f0d7f6a2fc6baf,
title = "Toward a visual pedometer",
abstract = "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.",
keywords = "body-mounted camera, mobile computing, pedometer",
author = "Dawei Liu and Qi Shan and Dan Wu",
year = "2012",
doi = "10.1145/2245276.2245473",
language = "English",
isbn = "9781450308571",
series = "Proceedings of the ACM Symposium on Applied Computing",
pages = "1025--1027",
booktitle = "27th Annual ACM Symposium on Applied Computing, SAC 2012",
note = "27th Annual ACM Symposium on Applied Computing, SAC 2012 ; Conference date: 26-03-2012 Through 30-03-2012",
}