The Design and Implementation of a Kinect-Based Framework for Selective Human Activity Tracking

被引:0
|
作者
Lun, Roanna [1 ]
Gordon, Connor [1 ]
Zhao, Wenbing [1 ]
机构
[1] Cleveland State Univ, Dept Elect Engn & Comp Sci, Cleveland, OH 44115 USA
来源
2016 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2016年
关键词
Selective Activity Tracking; Microsoft Kinect; Smart Watch; Gesture Recognition; Computer Networking;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we present the design and implementation details of a Kinect-based framework for human activity tracking. The framework is intentionally designed to be open so that it can communicate over the network with other systems and mobile/wearable devices. The possibility of integrating with other devices and systems makes it possible to use Kinect for human activity tracking in a way unforeseen before. For example, the integration of our framework with wearable sensors, such as smart watches and fitness bands, enables us to perform selective tracking of the daily activities of a particular user and provide realtime feedback to the user. Furthermore, multiple frameworks could work together to form a federated system to cover a large area and/or a large number of users.
引用
收藏
页码:2890 / 2895
页数:6
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