This is a position paper that discusses the challenges of emerging new sensing modalities for both device-free and wearable sensing systems, as well as opportunities lying in the combination of them across multiple information scales. With the development of the Internet of Things (IoT), many devices with sensing-ability have entered people's life. These systems mainly fall into two categories: wearables and infrastructure sensing (device-free). In this paper, wefirst briefly summarize the state-of-the-art sensing modalities of these two categories, then we discuss the challenges faced by them. We envision a future of IoT human sensing systems that achieves seamless sensing across multiple scales through collaborative information inference by both categories of modalities. Finally, we discuss the opportunities to expand the boundaries of sensing modalities that lie in their collaborative adaptation.
CITATION STYLE
Pan, S., & Nguyen, P. (2020). Opportunities in the Cross-Scale Collaborative Human Sensing of “Developing” Device-Free and Wearable Systems. In DFHS 2020 - Proceedings of the 2nd ACM Workshop on Device-Free Human Sensing (pp. 16–21). Association for Computing Machinery, Inc. https://doi.org/10.1145/3427772.3429394
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