Paper Info
Title
A Study on Hyperparameter Configuration for Human Activity Recognition.
Abstract
Human Activity Recognition is a machine learning task for the classification of human physical activities. Applications for that task have been extensively researched in recent literature, specially due to the benefits of improving quality of life. Since wearable technologies and smartphones have become more ubiquitous, a large amount of information about a person's life has become available. However, since each person has a unique way of performing physical activities, a Human Activity Recognition system needs to be adapted to the characteristics of a person in order to maintain or improve accuracy. Additionally, when smartphones devices are used to collect data, it is necessary to manage its limited resources, so the system can efficiently work for long periods of time. In this paper, we present a semi-supervised ensemble algorithm and an extensive study of the influence of hyperparameter configuration in classification accuracy. We also investigate how the classification accuracy is affected by the person and the activities performed. Experimental results show that it is possible to maintain classification accuracy by adjusting hyperparameters, like window size and window overlap, depending on the person and activity performed. These results motivate the development of a system able to automatically adapt hyperparameter settings for the activity performed by each person.
Year
DOI
Venue
2019
10.1007/978-3-030-20055-8_5
14TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING MODELS IN INDUSTRIAL AND ENVIRONMENTAL APPLICATIONS (SOCO 2019)
Keywords
Field
DocType
Human Activity Recognition,Ensemble of classifiers,Semi-supervised learning,Mobile computing
Mobile computing,Activity recognition,Semi-supervised learning,Hyperparameter,Computer science,Artificial intelligence,Wearable technology,Machine learning
Conference
Volume
ISSN
Citations 
950
2194-5357
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Kemilly Dearo Garcia121.72
Tiago Carvalho2417.98
João Mendes-Moreira331729.50
João M. P. Cardoso446257.24
André C. P. L. F. de Carvalho551741.24