Review of the Open Datasets for Contactless Sensing
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Author/Creator ORCID
Date
2024-01-09
Type of Work
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Citation of Original Publication
Liang, Kangyue, Junxin Chen, Tongyue He, Wei Wang, Amit Kumar Singh, Danda B. Rawat, Houbing Song, and Zhihan Lyu. “Review of the Open Datasets for Contactless Sensing.” IEEE Internet of Things Journal, 2024, 1–1. https://doi.org/10.1109/JIOT.2024.3351838.
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© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Abstract
Recent years have witnessed the increasing popularity and dramatic progress of contactless sensing technologies, which are able to conduct remote signal acquisition without body contact. Both the physical signs and the physiological parameters can be acquired with contactless sensing. This paper introduces popular contactless sensing technologies, explores their application scenarios, and delves into the underlying theoretical principles. It comprehensively reviews the open datasets released in this field, encompassing collection scenarios, sample counts, data formats, and volunteer information. The performance baseline, typical work, and accessible links are also furnished. In addition, it includes discussions on the primary challenges and potential solutions in the context of contactless sensing with open datasets. Finally, suggestions for establishing a high-quality dataset are also given to the community.