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Predicting Performance Improvement of Human Activity Recognition Model by Additional Data Collection
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 6:1-33
The development of a machine-learning-based human activity recognition (HAR) system using body-worn sensors is mainly composed of three phases: data collection, model training, and evaluation. During data collection, the HAR developer collects labele
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e363cad355ab3e6bfa87cb82c99f6e91
https://doi.org/10.1145/3550319
https://doi.org/10.1145/3550319
