Classification of Gait Anomaly due to Lesion Using Full-Body Gait Motions
نویسندگان
چکیده
منابع مشابه
Human Classification Using Gait Features
Gait exhibits several advantages with respect to other biometrics features: acquisition can be performed through cheap technology, at a distance and without people collaboration. In this paper we perform gait analysis using skeletal data provided by the Microsoft Kinect sensor. We defined a rich set of physical and behavioral features aiming at identifying the more relevant parameters for gait ...
متن کاملGait Analysis for Gender Classification Using CASIA Gait Database
A realistic appearance-based representation to discriminate gender from side view gait sequence is introduced here. This gait representation is based on simple features such as moments extracted from orthogonal view video silhouettes of human walking motion. The silhouette image is divided into two regions. The first region includes from the head to the torso region whereas the second region is...
متن کاملMasking the motions of human gait.
In three experiments we tried to mask the motions of human gait. We represented human walkers as a set of 11 computer-generated elements on a display monitor, moving as a nested hierarchy of motions that mimicked the motions of the head and m~jor joints. The walker was seen in sagittal view, facing either right or let~ and walking as if on a treadmill. On the walker was superimposed a simultane...
متن کاملGait-Based Gender Classification Using Kinect Sensor
Gender classification plays an important role in many applications such as surveillance systems and medical applications. Most of approaches for gender classification are based on the features of human face, voice and gait. Recently, gait-based approaches have been focused on more and more since the way they collect information about human gait is noncontact and non-invasive. Therefore, in this...
متن کاملGait-based User Classification Using Phone Sensors
We investigate whether smartphones can be used to distinguish different users based on their gait, the rhythmical body movements of human beings as they walk. To this end, we propose, describe, and experimentally evaluate a system that classifies peoples’ gait patterns using the tri-axial accelerometer of the Motorola Droid phone. The system employs the wavelet transform to extract features fro...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEICE Transactions on Information and Systems
سال: 2017
ISSN: 0916-8532,1745-1361
DOI: 10.1587/transinf.2016edp7332