The recognition of a person from his (or her) gait is a relatively new and promising research direction in biometrics since it is noninvasive and human friendly. Gait recognition, however, has the weakness that it is not reliable compared with other biometrics. To increase reliability, we applied a neural network ensemble with probabilistic fusion to the gait recognition problem. To improve rec...

Biometric gait analysis is to acquire biometric information such as identity, gender, ethnicity and age from people walking patterns. In the walking process, the human body shows regular periodic motion, especially upper and lower limbs, which reflects the individual’s unique movement pattern. Compared to other biometrics, gait can be obtained from distance and is difficult to hide and camoufla...

One of the major obstacles in developing reliable walking neural prostheses is poor performance of the sensors which are used for gait phases identification. Improper functioning of these sensors causes wrong stimulation pattern selection and wrong stimulation sequencing of the walking neural prostheses. These malfunctions often cause unstable walking patterns in patients that are using the pro...

Gait is the walking style or pattern of the human motions. This research aims to improve the accuracy of human gait recognition using the information provided by Microsoft Kinect. It benefits from a human joint positioning system by Kinect in three dimensions and proposes a new method in recognising the human gait. In this method, the angles between the body’s joints during the walking process ...

This study assesses femoral neck shortening and its effect on gait pattern and muscle strength in patients with femoral neck fractures treated with internal fixation. Seventy-six patients from a multicenter randomized controlled trial participated. Patient characteristics and Short Form 12 and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores were collected. Femoral ...