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.
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Acknowledgements
This work was financially supported by the “Intelligent Recognition Industry Service Center” from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan. Simultaneously, the authors are also grateful to the MOST, Taiwan, for supporting this study under the contracts MOST 107-2637-E-224-004.
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Chang, T. et al. (2019). Indoor Navigation Based on a Gait Recognition and Counting Scheme. In: Chang, CY., Lin, CC., Lin, HH. (eds) New Trends in Computer Technologies and Applications. ICS 2018. Communications in Computer and Information Science, vol 1013. Springer, Singapore. https://doi.org/10.1007/978-981-13-9190-3_43
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DOI: https://doi.org/10.1007/978-981-13-9190-3_43
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