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HASC Challenge: Gathering Large Scale Human Activity Corpus for the Real-World Activity Understandings
Kawaguchi, Nobuo
Ogawa, Nobuhiro
Iwasaki, Yohei
Kaji, Katsuhiko
Terada, Tsutomu
Murao, Kazuya
Inoue, Sozo
Kawahara, Yoshihiro
Sumi, Yasuyuki
Nishio, Nobuhiko
open access
(C) ACM, 2011. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in AH '11 Proceedings of the 2nd Augmented Human International Conference (AH2011) Mar/2011, http://dx.doi.org/10.1145/1959826.1959853
Activity Recognition
Activity Understandings
Wearable Computing, Accelerometer
Wearable Sensor
Large Scale Corpus
Understandings of human activity through wearable sensors will enable the next-generation human-oriented computing. However, most of researches on the activity recognition so far are based on small number of test subjects, and not well adapted for real world applications. To overcome the situation, we have started a project named “HASC Challenge” to collect a large scale human activity corpus. By the end of 2010, by the collaboration of 20 teams, more than 6700 accelerometer data with 540 subjects have been collected through our project. We also developed a tool named “HASC Tool” for management, evaluation and collection of the large number of activity sensor data.
Article No.27
ACM (The Association for Computing Machinery, Inc.)
2011-03-12
eng
journal article
AM
http://hdl.handle.net/2237/15469
https://nagoya.repo.nii.ac.jp/records/13570
https://doi.org/10.1145/1959826.1959853
978-1-4503-0426-9
AH '11 Proceedings of the 2nd Augmented Human International Conference (AH-2011)
https://nagoya.repo.nii.ac.jp/record/13570/files/HASCChallenge2010-20110205.pdf
application/pdf
684.4 kB
2018-02-20