인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
This study aimed to verify the accuracy of step count and energy expenditure measurements by the S Health app and to explore its potential as a tool for physical activity measurement research. The study targeted 20 adults (aged 19 to 64 years) living in Daegu Metropolitan City (Age: 26.0±5.8 years, Height: 170.2±7.2 cm, Weight: 69.5±10.9 kg, BMI: 20.4±2.8 kg/m²). To verify the accuracy of the S Health app, the step counts obtained through video analysis of a 2km walk were compared with the step counts from the S Health app and a pedometer. For energy expenditure, the S Health app, accelerometer, and respiratory gas analyzer were used and compared during treadmill walking.
The results are as follows: Firstly, in the comparison of step count differences, there was a significant difference between the S Health app, actual step count, and pedometer (p<.000). The S Health app tended to underestimate the step count.
Secondly, in the comparison of energy expenditure, there was a significant difference between the respiratory gas analyzer, S Health app, and accelerometer (p<.000). The energy expenditure measured by the respiratory gas analyzer was higher, whereas the smartphone app and accelerometer provided conservative measurements.
In summary, the S Health app showed discrepancies in measuring step count and energy expenditure. These results can vary depending on the body position, walking intensity, smartphone model, and manufacturer's motion sensor quality. For more accurate verification, further research involving various environments and age groups (children, elderly, etc.) is necessary.
The results are as follows: Firstly, in the comparison of step count differences, there was a significant difference between the S Health app, actual step count, and pedometer (p<.000). The S Health app tended to underestimate the step count.
Secondly, in the comparison of energy expenditure, there was a significant difference between the respiratory gas analyzer, S Health app, and accelerometer (p<.000). The energy expenditure measured by the respiratory gas analyzer was higher, whereas the smartphone app and accelerometer provided conservative measurements.
In summary, the S Health app showed discrepancies in measuring step count and energy expenditure. These results can vary depending on the body position, walking intensity, smartphone model, and manufacturer's motion sensor quality. For more accurate verification, further research involving various environments and age groups (children, elderly, etc.) is necessary.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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