Modeling spatiotemporal patterns of gait anomaly with a CNN-LSTM deep neural network
In this work, we propose an end-to-end deep learning model that uses the skeleton data
recorded by Kinect to capture spatiotemporal patterns for gait anomaly recognition. Via …
recorded by Kinect to capture spatiotemporal patterns for gait anomaly recognition. Via …
Learning content and style: Joint action recognition and person identification from human skeletons
Humans are able to simultaneously identify a person and recognize his or her action based
on biological motions. Previous work usually treats action recognition and person …
on biological motions. Previous work usually treats action recognition and person …
Continuous detection of human fall using multimodal features from Kinect sensors in scalable environment
Abstract Background and Objectives: Automatic detection of human fall is a key problem in
video surveillance and home monitoring. Existing methods using unimodal data …
video surveillance and home monitoring. Existing methods using unimodal data …
Cross-view human action recognition from depth maps using spectral graph sequences
We present a method for view-invariant action recognition from depth cameras based on
graph signal processing techniques. Our framework leverages a novel graph representation …
graph signal processing techniques. Our framework leverages a novel graph representation …
Glidar3dj: a view-invariant gait identification via flash lidar data correction
Gait recognition is a leading remote-based identification method, suitable for real-world
surveillance and medical applications. Model-based gait recognition methods have been …
surveillance and medical applications. Model-based gait recognition methods have been …
GlidarCo: gait recognition by 3D skeleton estimation and biometric feature correction of flash lidar data
Gait recognition using noninvasively acquired data has been attracting an increasing
interest in the last decade. Among various modalities of data sources, it is experimentally …
interest in the last decade. Among various modalities of data sources, it is experimentally …
Using skeleton correction to improve flash lidar-based gait recognition
This paper presents GlidarPoly, an efficacious pipeline of 3D gait recognition for flash lidar
data based on pose estimation and robust correction of erroneous and missing joint …
data based on pose estimation and robust correction of erroneous and missing joint …
Joint-angle-based yoga posture recognition for prevention of falls among older people
P Chezhiyan, DP - Data Technologies and Applications, 2019 - emerald.com
Purpose United Nations' World Population Ageing Report states that falls are one of the
most common problems in the elderly around the world. Falls are a leading cause of …
most common problems in the elderly around the world. Falls are a leading cause of …
A posture recognition system for assisted self-learning of yoga by cognitive impaired older people for the prevention of falls
Abstract According to United Nation's World Population ageing report, every country is
facing an ageing issue by most of their citizens. It is estimated that 75% of fall injuries occur …
facing an ageing issue by most of their citizens. It is estimated that 75% of fall injuries occur …
Ugrad: A graph-theoretic framework for classification of activity with complementary graph boundary detection
Activity recognition and activity boundary detection are two separate long-standing
challenges in the image processing literature. In activity recognition, a predefined set of …
challenges in the image processing literature. In activity recognition, a predefined set of …