Classification system for Ai-enabled consumer-grade wearable technologies aiming to automatize decision-making about individualization of exercise procedures

被引：0

作者：

Dueking, Peter ^{[1
]}

Robertson, Sam ^{[2
]}

Holmberg, Hans-Christer ^{[3
,4
]}

Wolf, Klaus-Hendrik ^{[5
,6
]}

Sperlich, Billy ^{[7
]}

机构：

[1] Tech Univ Carolo Wilhelmina Braunschweig, Dept Sports Sci & Movement Pedag, Braunschweig, Germany

[2] Victoria Univ, Inst Hlth & Sport, Melbourne, Vic, Australia

[3] Lulea Univ Technol, Div Machine Elements, Lulea, Sweden

[4] Karolinska Inst, Dept Physiol & Pharmacol, Biomedicum C5, Stockholm, Sweden

[5] TU Braunschweig, Peter L Reichertz Inst Med Informat, Hannover, Germany

[6] Hannover Med Sch, Braunschweig, Germany

[7] Univ Wurzburg, Dept Sport Sci, Integrat & Expt Exercise Sci & Training, Wurzburg, Germany

来源：

FRONTIERS IN SPORTS AND ACTIVE LIVING | 2025年 / 6卷

关键词：

framework; innovation; mHealth; eHealth; Ai; technology; training signature; WORLDWIDE SURVEY; FITNESS TRENDS; PHYSICAL-ACTIVITY; RELIABILITY; MEDICINE;

D O I：

10.3389/fspor.2024.1500563

中图分类号：

G8 [体育];

学科分类号：

04 ; 0403 ;

摘要：

引用

页数：5

共 38 条

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