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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Indoor Navigation Based on a Gait Recognition and Counting Scheme
verfasst von : Tin Chang, Tzu-Hsuan Chung, En-Wei Lin, Jun-Jie Lai, Xin-Hong Lai, Wen-Fong Wang, Chuan-Yu Chang, Ching-Yu Yang
Erschienen in: New Trends in Computer Technologies and Applications
Verlag: Springer Singapore
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Abstract
GPS satellite positioning is currently a system used by people for navigation. As urban buildings become larger and their internal usages more diverse, the internal structure of the buildings turns into complex. Indoor positioning with GPS is often blocked by buildings, so that GPS is unable to accurately locate a user’s position inside buildings. Currently, dead reckoning techniques can improve this issue in indoor positioning. However, the techniques need the deployment of many sensing devices in indoor environment, and the estimated distance would still result in serious errors. In this situation, it leads to the high cost of labor, materials, and equipment. In this study, we develop a gait recognition and counting scheme based on a self-made sensor to collect spatial data and user walks. The scheme can accurately calculate the number of walking steps, and then calculate the distance by effectively reducing the distance error.