Shuangquan Wang
Journal:
DOI:
Department Affiliations
- Salisbury University
- Computer Science, Salisbury University, Salisbury, Maryland
- Salisbury University,Computer Science Department,Maryland,United States
- Computer Science Department, Salisbury University, USA
- Salisbury University, Salisbury, MD, USA
- Salisbury University,Salisbury,Maryland
Themes
- Machine Learning Challenges
- Relationship between practice features and performance
- Food Type Recognition
- Wearable technology
- Parkinson's Disease
- Machine learning in sports science
- Food recognition technology
- Health management
- Health monitoring
- Dietary monitoring
- Quantification of athletic performance
- Fall prevention
- Impact of COVID-19 on sports practices
- Human-centered computing
- Team performance measurement
- Domain Adaptation
- Fall risk assessment
- Motion sensing
- Improvement in Recognition Accuracy
- User Variability in Sensor Data
- Quality of Life
- Surface recognition
- Energy intake estimation
- Hand Tremors
- Wearable Technology
- Gait adaptation
Categories
- Electromechanical technologies
- Computer and information sciences
- Computer science
- Electrical and computer engineering
- Computational biology
- Biological and biomedical sciences
- Environmental control technologies
- Engineering technologies nec
- Health sciences, general
- Rehabilitation and therapeutic sciences
- Bioinformatics
- Computer science and engineering
- Computer and information sciences, other
- Electrical engineering and computer science
- Bioinformatics, biostatistics, and computational biology
- Informatics and information technology
- Neurobiology and neurosciences nec
- Computer and information sciences, general
- Environmental health
- Multidisciplinary interdisciplinary sciences
- Biological and biomedical sciences, other
- Electrical and electronics engineering
- Biomedical sciences, general
- Medical clinical science
- Engineering technologies
- Health sciences, other
- Neuroscience
- Health sciences
- Interdisciplinary computer sciences
- Health services research
- Artificial intelligence
- Public health, general
- Exercise science and kinesiology
- Neurobiology and neurosciences
- Public health
- Engineering