Human activity recognition of children with wearable devices using LightGBM machine learning
出版年份 2022 全文链接
标题
Human activity recognition of children with wearable devices using LightGBM machine learning
作者
关键词
-
出版物
Scientific Reports
Volume 12, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2022-03-31
DOI
10.1038/s41598-022-09521-1
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Automatic Posture and Movement Tracking of Infants with Wearable Movement Sensors
- (2020) Manu Airaksinen et al. Scientific Reports
- Challenges of machine learning model validation using correlated behaviour data: Evaluation of cross-validation strategies and accuracy measures
- (2020) Bence Ferdinandy et al. PLoS One
- Leveraging Wearable Sensors for Human Daily Activity Recognition with Stacked Denoising Autoencoders
- (2020) Qin Ni et al. SENSORS
- Wearable human motion posture capture and medical health monitoring based on wireless sensor networks
- (2020) Liang Gao et al. MEASUREMENT
- A Machine-Learning Model for Automatic Detection of Movement Compensations in Stroke Patients
- (2020) Shir Kashi et al. IEEE Transactions on Emerging Topics in Computing
- Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning
- (2019) Seungeun Chung et al. SENSORS
- A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors
- (2019) Akbar Dehghani et al. SENSORS
- A Novel Approach to Assess Sleep-Related Rhythmic Movement Disorder in Children Using Automatic 3D Analysis
- (2019) Markus Gall et al. Frontiers in Psychiatry
- Whole-Body Movement during Videogame Play Distinguishes Youth with Autism from Youth with Typical Development
- (2019) Adel Ardalan et al. Scientific Reports
- Wearable Movement Sensors for Rehabilitation: A Focused Review of Technological and Clinical Advances
- (2018) Franchino Porciuncula et al. PM&R
- Wearable sensors for the monitoring of movement disorders
- (2018) Nahed Jalloul Biomedical Journal
- Machine learning algorithms for activity recognition in ambulant children and adolescents with cerebral palsy
- (2018) Matthew Ahmadi et al. Journal of NeuroEngineering and Rehabilitation
- Mobile Devices For The Real Time Detection Of Specific Human Motion Disorders
- (2016) Fernanda Irrera et al. IEEE SENSORS JOURNAL
- Prevalence of obesity and severe obesity in US children, 1999-2014
- (2016) Asheley Cockrell Skinner et al. Obesity
- Performance Evaluation of State of the Art Systems for Physical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study
- (2016) Muhammad Awais et al. SENSORS
- Early Intervention for Children With Autism Spectrum Disorder Under 3 Years of Age: Recommendations for Practice and Research
- (2015) L. Zwaigenbaum et al. PEDIATRICS
- Movement, resting, and attack behaviors of wild pumas are revealed by tri-axial accelerometer measurements
- (2015) Yiwei Wang et al. Movement Ecology
- Sensor Data Acquisition and Processing Parameters for Human Activity Classification
- (2014) Sebastian Bersch et al. SENSORS
- Window Size Impact in Human Activity Recognition
- (2014) Oresti Banos et al. SENSORS
- Identification of Behaviour in Freely Moving Dogs (Canis familiaris) Using Inertial Sensors
- (2013) Linda Gerencsér et al. PLoS One
- Accelerometry predicts daily energy expenditure in a bird with high activity levels
- (2012) K. H. Elliott et al. Biology Letters
- Wireless sensor networks for rehabilitation applications: Challenges and opportunities
- (2012) Abdelkrim Hadjidj et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
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