인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
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.
초록·키워드
This study analyzed 40 domestic and international research papers on AI-based sports wearables published between 2015 and 2024 to identify current trends and characteristics. The analysis revealed that domestic studies were heavily concentrated in 2020–2021, showing a surge in short-term, technology-oriented research, while international studies demonstrated steady and continuous growth up to 2024. The largest proportion of studies focused on equipment and system development, followed by performance and training, injury prevention, and physiology and health. Domestic research primarily emphasized experimental verification and prototype development, whereas international studies adopted more empirical and multidisciplinary approaches, often involving large-scale collaborations and long-term datasets. These findings indicate that while technological advancement remains a central theme, greater attention should be given to the integration of AI technologies with sports policy, data standardization, and athlete health management. The study underscores the importance of establishing sustainable domestic research networks and expanding applications toward injury prevention, health monitoring, and evidence-based performance enhancement.
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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