Wearable Sensors and Big Data
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biosensors".
Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 279
Special Issue Editors
Interests: intelligent human machine interaction human behavior recognition bio-signal processing eye-tracking and pupil diameter human factors; prosthetic interface; wearables
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
When wearables meet big data, huge new opportunities emerge in both research and its applications, but challenges arise as well. The most significant example is in healthcare. Personal wearable devices such as smartwatches offer ubiquitous monitoring of human kinematic, kinetic, and physiological data and are thus able to provide valuable information for health management, disease prevention, rehabilitation monitoring and evaluation, sports performance evaluation and injury prevention, etc. The challenges come from various facets, including the huge volume of data generated continuously by wearables, complex knowledge discovery from heterogeneous data sources, and data privacy.
This article collection focuses on reporting recent progresses addressing critical research problems using wearables big data, identifying corresponding novel interdisciplinary applications, and discussing future research topics.
This Special Issue will accept high-quality articles that contain original research results, and review articles. Therefore, articles reporting recent advances in 1) machine learning, data mining, and novel analytics approaches for wearables big data; 2) novel applications of wearables big-data-based analytics in various domains including healthcare, public health, sports, rehabilitation, assistive technologies, and human movement monitoring; 3) as well as closely-related topics, are welcome.
Dr. Xianta Jiang
Dr. Ling Chen
Guest Editors
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