HASC Challenge: gathering large scale human activity corpus for the real-world activity understandings

  • Authors:

  • Nobuo Kawaguchi;Nobuhiro Ogawa;Yohei Iwasaki;Katsuhiko Kaji;Tsutomu Terada;Kazuya Murao;Sozo Inoue;Yoshihiro Kawahara;Yasuyuki Sumi;Nobuhiko Nishio

  • Affiliations:

  • Nagoya University, Furo-Cho, Chikusa-ku, Nagoya, Japan;Nagoya University, Furo-Cho, Chikusa-ku, Nagoya, Japan;Nagoya University, Furo-Cho, Chikusa-ku, Nagoya, Japan;Nagoya University, Furo-Cho, Chikusa-ku, Nagoya, Japan;Kobe University, Rokkodai, Nada Ward, Kobe, Japan;Kobe University, Rokkodai, Nada Ward, Kobe, Japan;Kyushu Institute of Technology, Tobata-ku, Kitakyushu, Japan;The University of Tokyo, Bunkyo-ku, Tokyo, Japan;Kyoto University, Yoshida-Honmachi, Sakyo-ku, Japan;Ritsumeikan University, Noji-higashi, Kusatsu, Shiga, Japan

  • Venue:
  • Proceedings of the 2nd Augmented Human International Conference
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.