Full body gait analysis with Kinect

Abstract

Human gait is an important indicator of health, with applications ranging from diagnosis, monitoring, and rehabilitation. In practice, the use of gait analysis has been limited. Existing gait analysis systems are either expensive, intrusive, or require well-controlled environments such as a clinic or a laboratory. We present an accurate gait analysis system that is economical and non-intrusive. Our system is based on the Kinect sensor and thus can extract comprehensive gait information from all parts of the body. Beyond standard stride information, we also measure arm kinematics, demonstrating the wide range of parameters that can be extracted. We further improve over existing work by using information from the entire body to more accurately measure stride intervals. Our system requires no markers or battery-powered sensors, and instead relies on a single, inexpensive commodity 3D sensor with a large preexisting install base. We suggest that the proposed technique can be used for continuous gait tracking at home.

Gait Recognition with Compact Lidar Sensors

“…There are many gait recognition approaches published in the literature which are based on point clouds (Tang et al, 2014;Gabel et al, 2012;Whytock et al, 2014;Hofmann et al, 2012), yet they use the widely adopted Kinect sensor which has limited range and a small field-of-view and is less efficient for applications in real life outdoor scenarios than LiDAR sensors. Also the Kinect provides magnitudes higher density than an RMB LiDAR, so the effectiveness of these approaches are questionable in our case.…”

Human gait identification using Kinect sensor

“…Gait is more related to the movement patterns of body parts during locomotion. Gabel et al [22] used the changes in the location of these skeletons between consecutive frames as a feature. However, the work is only evaluated for gait parameter extraction not for identification.…”

Kinect-based gait analysis for automatic frailty syndrome assessment

“…In [16,17] it is shown that gait features extracted from Kinect can be used as a biometric signature. Gabel et al [18] have performed full body gait analysis for continuous gait monitoring at home. Obdrzalek et al [19] have investigated the accuracy of Kinect pose estimation for evaluating physical exercises aimed at coaching of elderly population.…”