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Chairs' summary/proposal for international workshop on human activity sensing corpus and its application (hasca2013)

Published: 08 September 2013 Publication History

Abstract

Recent advancement of technology enables installations of small sized accelerometers or gyroscopes on various kinds of wearable/portable information devices. By using such wearable sensors, these devices can estimate its posture or status. However, most of current devices only utilize these sensors for simple orientation and gesture recognition. More deep understandings and recognition of human activity through these sensors will enable the next-generation human-oriented computing. To enable the real-world application by these kinds of wearable sensors, a large scale human activity sensing corpus might play an important role. Additionally, we have now a lot of high-performance mobile devices in real-world such as smart-phones. It is a great challenge to utilize such an enormous number of wearable sensors to collect a large-scale activity corpus. In recent years, there are several ongoing projects which are collecting human activities. In this workshop, we are planning to share these experiences of current research on the human activity corpus and its applications among the researchers and the practitioners and to have a deep discussion for future of activity sensing.

References

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Daniel Roggen, Alberto Calatroni, Mirco Rossi, Thomas Holleczek, Gerhard Tröster, Paul Lukowicz, Gerald Pirkl, David Bannach, Alois Ferscha, Jakob Doppler, Clemens Holzmann, Marc Kurz, Gerald Holl, Ricardo Chavarriaga, Hesam Sagha, Hamidreza Bayati, and José del R. Millán. "Collecting complex activity data sets in highly rich networked sensor environments", In Seventh International Conference on Networked Sensing Systems (INSS'10), Kassel, Germany, 6 2010.
[2]
Nobuo Kawaguchi, Ying Yang, Tianhui Yang, Nobuhiro Ogawa, Yohei Iwasaki, Katsuhiko Kaji, Tsutomu Terada, Kazuya Murao, Sozo Inoue, Yoshihiro Kawahara, Yasuyuki Sumi, Nobuhiko Nishio, "HASC2011corpus: Towards the Common Ground of Human Activity Recognition", In Proceedings of the 13th International Conference on Ubiquitous Computing(UbiComp2011), pp.571--572, Beijing, China, 2011. (http://dx.doi.org/10.1145/2030112.2030218)

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    cover image ACM Conferences
    UbiComp '13 Adjunct: Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
    September 2013
    1608 pages
    ISBN:9781450322157
    DOI:10.1145/2494091
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 08 September 2013

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    Author Tags

    1. activity recognition
    2. context awareness
    3. large scale human activity sensing corpus
    4. mobile sensor
    5. participatory sensing
    6. wearable computing

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    UbiComp '13 Adjunct Paper Acceptance Rate 254 of 399 submissions, 64%;
    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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