Activity Recognition for Dogs Using Off-the-Shelf Accelerometer

Tatsuya Kiyohara, Ryohei Orihara, Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga

Abstract

Dogs are one of the most popular pets in the world, and more than 10 million dogs are bred annually in Japan now (JPFA, 2013). Recently, primitive commercial services have been started that record dogs’ activities and report them to their owners. Although it is expected that an owner would like to know the dog’s activity in greater detail, a method proposed in a previous study has failed to recognize some of the key actions. The demand for their identification is highlighted in responses to our questionnaire. In this paper, we show a method to recognize the actions of the dog by attaching only one off-the-shelf acceleration sensor to the neck of the dog. We apply DTW-D which is the state-of-the-art time series data search technique for activity recognition. Application of DTW-D to activity recognition of an animal is unprecedented according to our knowledge, and thus is the main contribution of this study. As a result, we were able to recognize ten different activities with 65.8% classification F-measure.

References

  1. Axivity Ltd., (2011), Axivity Ltd., viewed August 28th 2014, http://www.axivity.com.
  2. Chen, Y., Hu, B., Keogh, E. &Batista, GEAPA (2013), 'DTW-D: Time Series Semi-Supervised Learning from a Single Example', in Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining , Chicago, IL, USA, pp. 383-391.
  3. Hammerla, N. Y., Kirkham, R., Andras, P. & Ploötz, T. (2013). 'On Preserving Statistical Characteristics of Accelerometry Data using their Empirical Cumulative Distribution', in Proceedings of the 2013 International Symposium on Wearable Computers, Zurich, Switzerland, pp. 65-68.
  4. JPFA, (2013), Japan Pet Food Association, viewed August 28th http://www.petfood.or.jp, in Japanese.
  5. Ladha, C., Hammerla, N., Hughs, E., Olivier, P. & Plötz, T. (2013), 'Dog's Life: Wearable Activity Recognition for Dogs', in Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing, Zurich, Switzerland, pp. 415-418.
  6. MPI for Psycholinguistics, (2013), ELAN, ver. 4.6.2, Max Planck Institute for Psycholinguistics, Wundtlaan, Nijmegen, Nederland.
  7. NTT DOCOMO, (2014), NTT DOCOMO, INC., viewed August 28th 2014, http://www.docomopet.com, in Japanese.
  8. Paasovaara, S., Paldanius, M., Saarinen, P., Hakkila, J. & Vaananen-Vainio-Mattila, K. (2011), 'The Secret Life of My Dog Design and Evaluation of Paw Tracker Concept', in Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services , Bonn, Germany, pp. 231-240.
  9. Plötz, T., Moynihan, P., Pham, C. & Olivier, P. (2010), 'Activity Recognition and Healthier Food Preparation'. In Activity Recognition in Pervasive Intelligent Environments, eds L CHEN, CD NUGENT, J BISWAS & J HOEY, Atlantis Press, Paris, pp. 313-327.
  10. Poh, M. Z., McDuff, D. & Picard, R. (2011), 'A Medical for Non-contact Health Monitoring', in Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, Article No. 2.
  11. Rakthanmanon, T., Campana, B., Mueen, A., Batista, G., Westover, B., Zhu, Q., Zakaria, J. & Keogh, E. (2012), 'Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping', in Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, Beijing, China, pp. 262-270.
  12. Whistle Labs, (2013), Whistle Labs, Inc., viewed August 28th 2014, http://www.whistle.com
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Paper Citation


in Harvard Style

Kiyohara T., Orihara R., Sei Y., Tahara Y. and Ohsuga A. (2015). Activity Recognition for Dogs Using Off-the-Shelf Accelerometer . In Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-074-1, pages 100-110. DOI: 10.5220/0005212001000110


in Bibtex Style

@conference{icaart15,
author={Tatsuya Kiyohara and Ryohei Orihara and Yuichi Sei and Yasuyuki Tahara and Akihiko Ohsuga},
title={Activity Recognition for Dogs Using Off-the-Shelf Accelerometer},
booktitle={Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2015},
pages={100-110},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005212001000110},
isbn={978-989-758-074-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Activity Recognition for Dogs Using Off-the-Shelf Accelerometer
SN - 978-989-758-074-1
AU - Kiyohara T.
AU - Orihara R.
AU - Sei Y.
AU - Tahara Y.
AU - Ohsuga A.
PY - 2015
SP - 100
EP - 110
DO - 10.5220/0005212001000110