Using Accelerometers to Detect Activity Type in a Sport Setting: Challenges with Using Multiple Types of Conventional Machine Learning Approaches
出版年份 2022 全文链接
标题
Using Accelerometers to Detect Activity Type in a Sport Setting: Challenges with Using Multiple Types of Conventional Machine Learning Approaches
作者
关键词
-
出版物
Measurement in Physical Education and Exercise Science
Volume -, Issue -, Pages 1-13
出版商
Informa UK Limited
发表日期
2022-05-06
DOI
10.1080/1091367x.2022.2069467
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Cross-validation and out-of-sample testing of physical activity intensity predictions with a wrist-worn accelerometer
- (2018) Alexander H. K. Montoye et al. JOURNAL OF APPLIED PHYSIOLOGY
- A valid and reliable method to measure jump-specific training and competition load in elite volleyball players
- (2018) C. Skazalski et al. SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS
- Trends Supporting the In-Field Use of Wearable Inertial Sensors for Sport Performance Evaluation: A Systematic Review
- (2018) Valentina Camomilla et al. SENSORS
- Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance
- (2018) Emily E Cust et al. JOURNAL OF SPORTS SCIENCES
- The contribution of organised sports to physical activity in Australia: Results and directions from the Active Healthy Kids Australia 2014 Report Card on physical activity for children and young people
- (2016) Stewart A. Vella et al. JOURNAL OF SCIENCE AND MEDICINE IN SPORT
- Comparative evaluation of features and techniques for identifying activity type and estimating energy cost from accelerometer data
- (2016) Rohit J Kate et al. PHYSIOLOGICAL MEASUREMENT
- Automatic identification of physical activity types and sedentary behaviors from triaxial accelerometer: laboratory-based calibrations are not enough
- (2015) Thomas Bastian et al. JOURNAL OF APPLIED PHYSIOLOGY
- Classification of team sport activities using a single wearable tracking device
- (2015) Daniel W.T. Wundersitz et al. JOURNAL OF BIOMECHANICS
- Toward Automatic Activity Classification and Movement Assessment During a Sports Training Session
- (2015) Amin Ahmadi et al. IEEE Internet of Things Journal
- Hidden Semi Markov Models for Multiple Observation Sequences: ThemhsmmPackage forR
- (2015) Jared O'Connell et al. Journal of Statistical Software
- Evolution of accelerometer methods for physical activity research
- (2014) Richard P Troiano et al. BRITISH JOURNAL OF SPORTS MEDICINE
- Classification of Sporting Activities Using Smartphone Accelerometers
- (2013) Edmond Mitchell et al. SENSORS
- Sample size planning for classification models
- (2012) Claudia Beleites et al. ANALYTICA CHIMICA ACTA
- Sensor Positioning for Activity Recognition Using Wearable Accelerometers
- (2011) Louis Atallah et al. IEEE Transactions on Biomedical Circuits and Systems
- Best Practices for Using Physical Activity Monitors in Population-Based Research
- (2011) CHARLES E. MATTHEWS et al. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
- Physical Activity in the United States Measured by Accelerometer
- (2009) RICHARD P. TROIANO et al. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
- Detection of Type, Duration, and Intensity of Physical Activity Using an Accelerometer
- (2009) ALBERTO G. BONOMI et al. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
- Activity identification using body-mounted sensors—a review of classification techniques
- (2009) Stephen J Preece et al. PHYSIOLOGICAL MEASUREMENT
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