Device-Free Human Sensing and Localization in Collaborative Human–Robot Workspaces: A Case Study

The authors consider two untackled problems in RF-based activity recognition: the distinction of simultaneously conducted activities of individuals and the recognition of gestures from purely time-domain-based features. Recognition is based on a single antenna system. This is important for the application in end-user devices which are usually single-antenna systems and have seldom access to more sophisticated, e.g. frequency-based features. In case studies with software defined radio nodes utilised in an active, device-free activity recognition (DFAR) system, the authors observe a good recognition accuracy for the detection of multiple simultaneously conducted activities with two and more receive devices. Four gestures and two baseline situations are distinguished with good accuracy in a second case study.

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Device-Free WiFi Human Sensing: From Pattern-Based to Model-Based Approaches

IEEE Communications Magazine ◽

10.1109/mcom.2017.1700143 ◽

2017 ◽

Vol 55 (10) ◽

pp. 91-97 ◽

Cited By ~ 55

Author(s):

Dan Wu ◽

Daqing Zhang ◽

Chenren Xu ◽

Hao Wang ◽

Xiang Li

Keyword(s):

Model Based ◽

Human Sensing ◽

Device Free

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Sensing Cities and Getting Smarter

Ambient Urbanities as the Intersection Between the IoT and the IoP in Smart Cities - Advances in Civil and Industrial Engineering ◽

10.4018/978-1-5225-7882-6.ch002 ◽

2019 ◽

pp. 35-71

Keyword(s):

Smart Cities ◽

Research Literature ◽

The Internet ◽

Study Approach ◽

Human Sensing ◽

Multiple Domains ◽

The City ◽

The Internet Of Things ◽

Shed Light

This chapter explores awareness in relation to sensing and smartness in the city enabled through aware people and aware technologies, including the internet of things (IoT), the internet of people (IoP), and the internet of experiences (IoE). The main aim of this chapter is to shed light on where intelligence resides in the city and what constitutes and contributes to sensing and making cities smarter in relation to evolving notions of urbanity. The research literature for awareness, sensing, sensors, the IoT, the IoP, and the IoE is explored in this chapter in the context of urbanity and smart cities, enabling identification of issues, controversies, and problems. Using an exploratory case study approach, solutions and recommendations are advanced. This chapter makes a contribution to 1) research and practice across multiple domains including the IoT, the IoP, and IoE and 2) emerging thinking on human sensing and associated behaviors in smart cities.

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