Nobuo Kawaguchi
Nobuhiro Ogawa
ABSTRACT
To accelerate and simplify human activity recognition research, we have been developing a data processing tool named "HASC Tool." As the activity corpus becomes huge, it is not simple to handle the large number of files because it takes a lot of time to process. In this paper, we propose a distributed data processing mechanism which is implemented in the HASC Tool. By using the system, we can simply scale the local system into distributed processing. We also show the preliminary experimental result.
- Nobuo Kawaguchi, Nobuhiro Ogawa, Yohei Iwasaki, Katsuhiko Kaji, Tsutomu Terada, Kazuya Murao, Sozo Inoue, Yoshihiro Kawahara, Yasuyuki Sumi and Nobuhiko Nishio, HASC Challenge: Gathering Large Scale Human Activity Corpus for the Real-World Activity Understandings, ACM Augmented Human (AH2011), pp. 27:1--27:5 (2011). Google Scholar
Digital Library
- Nobuhiro Ogawa, Katsuhiko Kaji, Nobuo Kawaguchi, Effects of Number of Subjects on Activity Recognition - Findings from HASC2010corpus -, International Workshop on Frontiers in Activity Recognition using Pervasive Sensing(IWFAR2011), pp. 48--51(2011).Google Scholar
- HASC Tool Project Website: http://sourceforge.jp/projects/hasc.Google Scholar
- Mark Hall, Eibe Frank, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, Ian H. Witten, The WEKA Data Mining Software: An Update. SIGKDD Explorations, Volume 11, Issue 1.(2009). Google ScholarDigital Library
- Hadoop.: http://hadoop.apache.org.Google Scholar
- Osamu Tatebe, Kohei Hiraga, Noriyuki Soda, "Gfarm Grid File System", New Generation Computing, Ohmsha, Ltd. and Springer, Vol. 28, No. 3, pp.257--275, (2010).Google ScholarCross Ref
Index Terms
- Distributed human activity data processing using HASC tool
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