Using Machine Learning to Predict Perceived Exertion During Resistance Training With Wearable Heart Rate and Movement Sensors.
Justin Amadeus AlbertArne HerdickClemens Markus BrahmsUrs GranacherBert ArnrichPublished in: BIBM (2021)
Keyphrases
- heart rate
- physical activity
- machine learning
- wearable sensors
- sensor networks
- blood pressure
- supervised learning
- heart rate variability
- wearable devices
- real time
- vital signs
- activity recognition
- physiological signals
- ecg signals
- information systems
- machine learning methods
- feature selection
- training set
- learning algorithm
- support vector machine
- sensor data
- data analysis
- inertial sensors
- data fusion
- action recognition
- human computer interaction