Body Temperature Monitoring for Regular COVID-19 Prevention Based on Human Daily Activity Recognition
Existing wearable systems that use G-sensors to identify daily activities have been widely applied for medical, sports and military applications, while body temperature as an obvious physical characteristic that has rarely been considered in the system design and relative applications of HAR. In the...
Saved in:
Main Authors: | Lei Zhang, Yanjin Zhu, Mingliang Jiang, Yuchen Wu, Kailian Deng, Qin Ni |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/ece40c4c1a9540c5b3c1fb0bd10fa1c9 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Human Activity Recognition: literature Review
by: mais irreem atheed, et al.
Published: (2021) -
Deep learning based human activity recognition (HAR) using wearable sensor data
by: Saurabh Gupta
Published: (2021) -
Wearable Sensor for Assessing Gait and Postural Alterations in Patients with Diabetes: A Scoping Review
by: Lorenzo Brognara, et al.
Published: (2021) -
Ultrasensitive skin-like wearable optical sensors based on glass micro/nanofibers
by: Zhang Lei, et al.
Published: (2020) -
Relationships between Gait Regularity and Cognitive Function, including Cognitive Domains and Mild Cognitive Impairment, in Community-Dwelling Older People
by: Takasuke Miyazaki, et al.
Published: (2021)