Multi-modal motion-capture-based biometric systems for emergency response and patient rehabilitation

ML Gavrilova, F Ahmed, ASMH Bari, R Liu… - … Practices and Therapy, 2021 - igi-global.com
This chapter outlines the current state of the art of Kinect sensor gait and activity
authentication. It also focuses on emotional cues that could be observed from human body …

Multi-person activity recognition and tracking based on skeletal keypoint detection

HS Li, JY Chen, H Xia - IEEE Transactions on Artificial …, 2023 - ieeexplore.ieee.org
Currently, most action recognition networks have deep overall structures, large model
parameters, and high requirements for computer hardware equipment. As a result, it is easy …

基于骨骼及表观特征融合的动作识别方法

王洪雁, 袁海 - 通信学报, 2022 - infocomm-journal.com
针对传统动作识别算法不易区分相似动作的问题, 提出一种基于深度关节与手工表观特征融合的
动作识别方法. 首先将关节空域位置及约束输入具有时空注意力机制的长短期记忆(LSTM) …

[Retracted] Deep‐Learning‐Guided Student Classroom Action Understanding for Preschool Education

X Li - Applied Bionics and Biomechanics, 2022 - Wiley Online Library
A deep architecture for enhancing students' action recognition is proposed to improve
preschool education. This paper seamlessly combines the teaching objectives, teaching …

Combined Spatial Features Recognition Method for Similar Video Action Automatic Classification

L Wang, Y Mei, S Gao, T Zhou - Proceedings of the 2021 4th Artificial …, 2021 - dl.acm.org
Due to the differences between general actions are obvious, these actions are easily
recognized by traditional methods which are input with RGB data. But for similar actions, the …

Action recognition method based on fusion of skeleton and apparent features.

W Hongyan, Y Hai - Journal on Communication/Tongxin …, 2022 - search.ebscohost.com
Focusing on the issue that traditional skeletal feature-based action recognition algorithms
were not easy to distinguish similar actions, an action recognition method based on the …