@inbook{49014f8f36dd47f0b34594d5fc2e6b70,
title = "Subject-dependent and -independent human activity recognition with person-specific and -independent models",
abstract = "The distinction between subject-dependent and subject-independent performance is ubiquitous in the Human Activity Recognition (HAR) literature. We test the hypotheses that HAR models achieve better subject-dependent performance than subject-independent performance, that a model trained with many users will achieve better subject-independent performance than one trained with a single user, and that one trained with a single user performs better for that user than one trained with this and other users by comparing four algorithms' subject-dependent and -independent performance across eight data sets using three different approaches, which we term person-independent models (PIMs), person-specific models (PSMs), and ensembles of PSMs (EPSMs). Our analysis shows that PSMs outperform PIMs by 3.5\% for known users, PIMs outperform PSMs by 13.9\% and ensembles of PSMs by a not significant 2.1\% for unknown users, and that the performance for known users is 20.5\% to 48\% better than for unknown users.",
keywords = "Bagging, Boosting, Ensemble Methods, Human Activity Recognition, Inertial Sensors, Machine Learning",
author = "Sebastian Scheurer and Salvatore Tedesco and Brown, \{Kenneth N.\} and Brendan O'Flynn",
note = "Publisher Copyright: {\textcopyright} 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM.; 6th International Workshop on Sensor-Based Activity Recognition and Interaction, iWOAR 2019 ; Conference date: 16-09-2019 Through 17-09-2019",
year = "2019",
month = sep,
day = "16",
doi = "10.1145/3361684.3361689",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery ",
editor = "Stefan Ludtke and Sebastian Bader and Kristina Yordanova and Thomas Kirste",
booktitle = "iWOAR 2019 - 6th International Workshop on Sensor-Based Activity Recognition and Interaction, Proceedings",
address = "United States",
}