Title :
Improvement of activity recognition for child growth monitoring system at kindergarten
Author :
Shuehi Kurashima;Satoshi Suzuki
Author_Institution :
Department of Robotics and Mechatronics, School of Science and Technology for Future Life, Tokyo Denki University, Tokyo, Japan
Abstract :
Activity recognition is possible to be used to understand behavior of infants and effective for health and development of children. In our previous study, action of children were assumed as sleeping, sitting, hand motion, walking, running, and playing. Revise of action items were, however, required because it was difficult to calculate calorie consumption in the previous. In this study, 11 action items are newly assumed, and accuracies of the activity recognition were investigated. As a result, accuracies of 4 items among 11 items were improved over than 60%, although accuracies of other 7 items were less than 60%.
Keywords :
"Pediatrics","Acceleration","Legged locomotion","Obesity","Monitoring","Accelerometers"
Conference_Titel :
Industrial Electronics Society, IECON 2015 - 41st Annual Conference of the IEEE
DOI :
10.1109/IECON.2015.7392494