Kid Activity Recognition: A Comprehensive study of kid activity recognition with monitoring activity level using YOLOv8s Algorithms-Reference-Cited by-同舟云学术

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Kid Activity Recognition: A Comprehensive study of kid activity recognition with monitoring activity level using YOLOv8s Algorithms

Published:2024-05-03 Issue: Volume:53 Page:1-6
ISSN:
Container-title:2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT)
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Author:

Bisla Tiya¹,Shukla Ritik¹,Dhawan Mansi¹,Islam Md. Rahatul²,Koyasu Takao³,Teramoto Keisuke⁴,Kataoka Yui⁵,Horio Keiichi²

Affiliation:

1. Dronacharya Group of Institution,Dept. of Computer Science & Engineering,Greater Noida,India

2. Kyushu Institute of Technology,Graduate School of Life Science and Systems Engineering,Fukuoka,Japan

3. Kyushu Women’s Junior College,Fukuoka,Japan

4. Aichi University of Education Aichi,Japan

5. Fukuoka Kodomo Junior College,Fukuoka,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574534/10574536/10574569.pdf?arnumber=10574569

Reference14 articles.

1. Computer Vision-based Survey on Human Activity Recognition System, Challenges and Applications

2. Association between school absence and physical function in paediatric chronic fatigue syndrome/myalgic encephalopathy

3. Anxiety in children with CFS/ME

4. Depression in paediatric chronic fatigue syndrome

5. Children's experiences of chronic fatigue syndrome/myalgic encephalomyelitis (CFS/ME): a systematic review and meta-ethnography of qualitative studies

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