Identity recognition by walking outdoors using multimodal sensor insoles

Recently, gait attracts attention as a practical biometric for devices that naturally possess walking pattern sensing. In the present study, we explored the feasibility of using a multimodal smart insole for identity recognition. We used sensor insoles designed and implemented by us to collect kinet...

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Veröffentlicht in:	IEEE access 2020-01, Vol.8, p.1-1
Hauptverfasser:	Ivanov, Kamen, Mei, Zhanyong, Penev, Martin, Lubich, Ludwig, Mumini, Omisore Olatunji, Van, Sau Nguyen, Yan, Yan, Wang, Lei
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Biomedical monitoring Biometrics Body area networks Classifiers Computer architecture Feasibility studies Feature extraction Footwear Gait recognition Insoles Kinematics Legged locomotion Machine learning Mobile handsets Multimodal sensors Neural networks plantar pressure Recognition Segmentation sensor fusion Sensors smart insole Walking wearable sensors
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