CSL-SHARE: A Multimodal Wearable Sensor-Based Human Activity Dataset
Hui Liu, Yale Hartmann, Tanja Schultz
Abstract
In this digital age, human activity recognition (HAR) plays an increasingly important role in almost all aspects of life to improve people's quality of life, such as auxiliary medical care, rehabilitation technology, and interactive entertainment. Besides external sensing, sensor-based internal sensing for HAR is also intensively studied. A large body of research involves recognizing various kinds of everyday human activities, including walking, standing, jumping, and performing gestures. HAR research relies on large amounts of data, which includes the collection of laboratory data that meet in-house research goals, as well as the usage of external and public databases to verify models and methods. Therefore, data collection is an essential part of our entire HAR research work, for which we will detail this extensive progress.