Pedestrian Navigation Method Based on Machine Learning and Gait Feature Assistance

In recent years, as the mechanical structure of humanoid robots increasingly resembles the human form, research on pedestrian navigation technology has become of great significance for the development of humanoid robot navigation systems. To solve the problem that the wearable inertial navigation sy...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Switzerland), 2020-03, Vol.20 (5), p.1530
Hauptverfasser:	Zhou, Zijun, Yang, Shuqin, Ni, Zhisen, Qian, Weixing, Gu, Cuihong, Cao, Zekun
Format:	Artikel
Sprache:	eng
Schlagworte:	Acceleration Algorithms Biomechanical Phenomena Feet Foot - physiology Gait gait feature assistance gait phase recognition Global positioning systems GPS Humanoid Humans Inertial coordinates Inertial navigation Inertial platforms Kinematics Machine Learning Mapping Monitoring, Ambulatory - instrumentation Monitoring, Ambulatory - methods Motion Navigation systems Neural networks Neural Networks, Computer pedestrian navigation Pedestrians Reproducibility of Results Robotics Sensors Velocity virtual inertial navigation system Walking Wearable Electronic Devices
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