Kinect Sensor Gesture and Activity Recognition New applications for consumer cognitive systems
Kinect Sensor Gesture and Activity Recognition New applications for consumer cognitive systems
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DOI：
10.1109/mce.2017.2755498
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发表时间：
2018-01-01
影响因子：
4.5
通讯作者：
Paul, Padma Polash
中科院分区：
文献类型：
--
作者：
Gavrilova, Marina L.;Wang, Yingxu;Paul, Padma Polash
认知消费电子（CE）是全球增长最快的行业，由机器智能和认知系统驱动，由音频和视频捕获设备、智能传感器、健康和健身监测设备、安全和教育电子设备以及智能系统触发和启用。智能消费者传感器和认知系统通过物联网（IoT）协同工作，以实现最佳信息共享、通信、实时更新、数据分析和增强决策支持。基于生物识别的设备最初用于机场、边境控制、灾区或难民迁移区的大规模应用，现在作为独立系统或与互连的传感器网络一起在商业和消费领域实现了广泛的应用。介绍了微软Kinect在智能家居认知系统中的应用，提出了一种基于Kinect传感器的手势和动作识别的人类行为认知技术。作为普适认知系统的新型前端，基于Kinect传感器的系统的挑战和应用将在CE中进行探索，例如智能汽车，医疗保健，监控和活动识别。
Cognitive consumer electronics (CE), the fastest-growing sector worldwide that is driven by machine intelligence and cognitive systems, is triggered and enabled by audio- and video-capturing devices, smart sensors, health- and fitness-monitoring devices, security and education electronics, and intelligent systems. Smart consumer sensors and cognitive systems are synergized through the Internet of Things (IoT) for optimal information sharing, communication, real-time updates, data analytics, and enhanced support for decision making. Biometric-based devices, originally intended for large-scale applications in airports, border controls, disaster zones, or refugee migration zones, are enabling a wide range of applications in commercial and consumer sectors as standalone systems or with interconnected sensor networks. This article introduces the applications of Microsoft Kinect in cognitive systems for smart CE, and, using Kinect sensors, a human-behavior cognition technology is presented for gesture and activity recognition. As a novel front end of pervasive cognitive systems, the challenges and applications of a Kinect sensor-based system will be explored in CE, such as smart automobiles, health care, surveillance, and activity recognition.