DEVELOP AN AUTONOMOUS DESIGN SYSTEM TO RECOGNIZE THE SUBJECT THROUGH THE POSTURE OF THE WALK USING IOT

• Main Authors: Fathima, A. Jainul, Champaty, Biswajeet, Dixit, Priyanka, Satpathy, Rabinarayan, Pallathadka, Arun Kumar, Mittal, Atishey
• Format: Patent
• Language: English
• Published: 06.01.2022
• Subjects: DIAGNOSIS; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; MEDICAL OR VETERINARY SCIENCE; PHYSICS; SURGERY

DEVELOP AN AUTONOMOUS DESIGN SYSTEM TO RECOGNIZE THE SUBJECT THROUGH TIE POSTURE OF THE WALK USING IOT Gait position is a kind of nonverbal communication that is unique to each individual which can be used as a method of identity. This system is capable of diagnosing problems. The technology aids aged or disabled people in detecting poor posture and regaining their walk. Using legs motions and foot length as distinctive features, gait position gives data for identity. The inertial measurement unit (IMUs) in a smartphone was employed to indicate the movement of the top and bottom leg portions in the present study. The information regarding the leg contact with the surface was obtained using a resistor flex sensor (RFS). The information was gathered from a target group of people of various ages, heights, and weights. Just after the gait position, comparison research was conducted to identify the individual. Data were processed using statistical study and a deep learning technique. The outcomes of studying the mistakes generated with the training set are favorable. DEVELOP AN AUTONOMOUS DESIGN SYSTEM TO RECOGNIZE THE SUBJECT THROUGH THE POSTURE OF THE WALK USING IOT Diagram I II III IV V Figure 1: Left leg phases when walking in a step mobile 1 data analysis mobile 2 flex detector mobile 1 mobile 2 Figure 2: Gait monitoring framework