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DePedo: Anti Periodic Negative-Step Movement Pedometer with Deep Convolutional Neural Networks.

, , , , , and . ICC, page 1-6. IEEE, (2018)

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Wi-Fi RTT based indoor positioning with dynamic weighted multidimensional scaling., , , , , and . IPIN, page 1-8. IEEE, (2019)DePos: Accurate orientation-Free Indoor Positioning with Deep Convolutional Neural Networks., , , , , and . UPINLBS, page 1-7. IEEE, (2018)An hidden Markov model based complex walking pattern recognition algorithm., , , and . UPINLBS, page 223-229. IEEE, (2016)Location Fingerprint Extraction for Magnetic Field Magnitude Based Indoor Positioning., , , , , , and . J. Sensors, (2016)Design and Implementation of a Scalable LBS Middleware Based on the PUBSUB Paradigm and Load Balancing Mechanism., , , and . PDCAT, page 27-32. IEEE, (2012)Indoor Positioning Based on Fingerprint-Image and Deep Learning., , , , , and . IEEE Access, (2018)DePedo: Anti Periodic Negative-Step Movement Pedometer with Deep Convolutional Neural Networks., , , , , and . ICC, page 1-6. IEEE, (2018)An indoor self-localization algorithm using the calibration of the online magnetic fingerprints and indoor landmarks., , , and . IPIN, page 1-8. IEEE, (2016)Mass-centered weight update scheme for particle filter based indoor pedestrian positioning., , , , , and . WCNC, page 1-6. IEEE, (2018)A destination prediction algorithm using spatial temporal bidirectional LSTM networks., , , , and . IPIN (Short Papers/Work-in-Progress Papers), volume 2498 of CEUR Workshop Proceedings, page 439-446. CEUR-WS.org, (2019)