DocumentCode :
2696728
Title :
Introducing a New Benchmarked Dataset for Activity Monitoring
Author :
Reiss, Attila ; Stricker, Didier
Author_Institution :
Dept. of Augmented Vision, German Res. Center of Artificial Intell. (DFKI), Kaiserslautern, Germany
fYear :
2012
fDate :
18-22 June 2012
Firstpage :
108
Lastpage :
109
Abstract :
This paper addresses the lack of a commonly used, standard dataset and established benchmarking problems for physical activity monitoring. A new dataset - recorded from 18 activities performed by 9 subjects, wearing 3 IMUs and a HR-monitor - is created and made publicly available. Moreover, 4 classification problems are benchmarked on the dataset, using a standard data processing chain and 5 different classifiers. The benchmark shows the difficulty of the classification tasks and exposes new challenges for physical activity monitoring.
Keywords :
cardiology; pattern classification; HR-monitor; IMU; benchmarked dataset; classification problem; physical activity monitoring; standard data processing chain; Accuracy; Benchmark testing; Biomedical monitoring; Decision trees; Heart rate; Monitoring; Standards;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wearable Computers (ISWC), 2012 16th International Symposium on
Conference_Location :
Newcastle
ISSN :
1550-4816
Print_ISBN :
978-1-4673-1583-8
Type :
conf
DOI :
10.1109/ISWC.2012.13
Filename :
6246152
Link To Document :
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