Advanced human recognition using gait analysisNew Delhi, Apr 26(AZINS) At a time when security is a major concern, a team of three engineering students from Birla Institute of Technology and Science (BITS), Pilani is working on an innovative way for human recognition using gait and other body features which can be used in major security prone areas like defence, research labs, government offices, banks and other institutions that have predefined people using the system.

Gait is a systematic study of animal locomotion or specifically, a study of human motion, using eye and the brain of observers. This is augmented by instrumentation for body mechanics, measuring body movements, and the activity of the muscles.

The technique is also commonly used in sports biomechanics to help athletes run more efficiently and to identify posture-related or movement-related problems in people with injuries.

Headed by Chandradeo Arya, a third-year computer science student, the team is working towards a reliable way of human recognition which provides an alternative way to currently established a system based on facial, fingerprint and iris recognition. The project was submitted under the synopsis- 'Human recognition using gait analysis and other body features based on Microsoft Kinect sensor'.

"It will act as an additional alternative to the currently used systems based on fingerprint and facial recognition due to its non-intrusive, reliable nature and will enable better biometric data privacy," says Arya whose team is one of the three to win 'Ericsson Innovation Awards India' held at Indian Institute of Technology (IIT), Delhi here.

The final product is set to be a complete software solution which will require Kinect (a sensor) and one small computing device, a computer system and an embedded system in coming time which can recognise people from a distance without requiring them to stop and follow the checkpoint.