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1.
Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2234043

ABSTRACT

The COVID-19 has caused many elderly people to become inactive. Lack of exercise is thought to increase the risk of developing lifestyle-related diseases. In addition, many elderly people are unaware of the amount of exercise they should be doing, and often exercise excessively, exercise ineffectively, or do not know the amount of exercise that is appropriate for them. In Chapter 2 of this paper, we confirm that heart rate can be predicted using LSTM from thermographic images during step exercise. In Chapter 3, we conducted a basic study on how to measure heart rate during step exercise and control it to a constant heart rate. © 2022 IEEE.

2.
Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, SCIS and ISIS 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2223143

ABSTRACT

The COVID-19 has caused many elderly people to become inactive. Lack of exercise is thought to increase the risk of developing lifestyle-related diseases. In addition, many elderly people are unaware of the amount of exercise they should be doing, and often exercise excessively, exercise ineffectively, or do not know the amount of exercise that is appropriate for them. In Chapter 2 of this paper, we confirm that heart rate can be predicted using LSTM from thermographic images during step exercise. In Chapter 3, we conducted a basic study on how to measure heart rate during step exercise and control it to a constant heart rate. © 2022 IEEE.

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