.png){kind=icon}
返回
Multisensor-Based 3D Gesture Recognition for a Decision-Making Training System
.png){kind=icon}
PRE
AI
DOI：10.1109/JSEN.2020.3012887.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This article demonstrates a gesture recognition method using multiple Inertial Measurement Unit (IMU) sensors, which can record acceleration and rotation information for hand joints. The proposed gesture recognition method comprises frequency ConvNet and TemporalNet to extract the representative features within a sliding window of IMU signals for recognizing various types of hand gestures. To validate the proposed gesture recognition method, basketball official referee signals (ORSs), which comprise sixty-five types of gestures including both large motion hand movement and subtle motion hand movement, are utilized as the main recognition task to evaluate the proposed method. The evaluation results reveal the proposed recognition model can achieve convinced performance, which outperforms other existing works. In addition, the satisfied performance of the proposed recognition model encourages us to develop a decision-making training (DMT) system for cultivating basketball referees. The results of subjective evaluations by the recruited 20 participants indicate the training system based on the proposed gestures recognition method can efficiently strengthen the decision-making skills of users.
Keyword:
Gesture recognition
Wearable sensors
Training
Games
Temperature sensors
Gesture recognition
wearable sensor
hybrid neural network
sports training
decision-making
training system
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.5
论文数:
2.1W
被引数:
7.3W
机构
引用论文
分享收藏Preferred Placement and Usability of a Smart Textile System vs. Inertial Measurement Units for Activity Monitoring与用于活动监测的惯性测量单元相比，智能纺织系统的首选位置和可用性.png)
SENSORS
OAAI
SENSORSIF3.5
OAAI分享收藏分享收藏分享收藏Wearable Sensors for Human Activity Monitoring: A Review用于人体活动监测的可穿戴传感器: 综述IEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
分享收藏
查看更多内容