Human Signature Identification Using IoT Technology and Gait Recognition

• DOI: 10.3390/electronics10070852
• Publication Date: 2021-04-02T14:34:09Z
• Authors: Mihaela Hnatiuc; Oana Geman; Andrei George Avram; Deepak Gupta; K. Shankar
• Keywords: Identification; Mobile phone; Units of measurement

This study aimed to develop an autonomous design system for recognizing the subject by gait posture. Gait posture is a type of non-verbal communication characteristic each person, and can be considered signature used in identification. diagnosis. The helps aging or disabled subjects identify incorrect recover gait. gives information identification using leg movements step distance as parameters. In current study, inertial measurement units (IMUs) located mobile phone were provide about movement upper lower parts. A resistive flex sensor (RFS) was obtain foot contact with ground. data collected from target group comprising different age, height, mass. comparative undertaken after Statistical analysis machine learning algorithm processing. errors obtained training are presented at end paper results encouraging. article proposes method acquiring available anyone indispensable devices purchased all users such phones.