Analysis of human behavior recognition algorithms based on acceleration data

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2013, Pages 1602-1607

  Bruno, Barbara ^a   Mastrogiovanni, Fulvio ^a   Sgorbissa, Antonio ^a   Vernazza, Tullio ^a   Zaccaria, Renato ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVITIES OF DAILY LIVING; AMBIENT INTELLIGENCE; AUTOMATIC ASSESSMENT; CLASSIFICATION RESULTS; GAUSSIAN MIXTURE MODEL; HUMAN BEHAVIOR RECOGNITION; MAHALANOBIS DISTANCES; MOTION PRIMITIVES;

ROBOTICS;

BEHAVIORAL RESEARCH;

EID: 84887311171     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICRA.2013.6630784     Document Type: Conference Paper

References (17)

1. B.Argall and A.Billard, "A survey of tactile human-robot interactions," Robotics and Autonomous Systems, vol.58, 2010.
2. S.Katz, A.Chinn, and L.Cordrey, "Multidisciplinary studies of illness in aged persons: a new classification of functional status in activities of daily living," Journal of Chronic Disease, vol.9, no.1, pp.55-62, 1959.
3. T.Yamazaki, "Assistive technologies in smart homes," in F.Mastrogiovanni and N.Y.Chong (Eds.) Handbook of Research on Ambient Intelligence and Smart Environments.Hershey, Pennsylvania, USA: I GI Global, pp.165-181.
4. F.Mastrogiovanni, A.Sgorbissa, and R.Zaccaria, "Activity recognition in smart homes: from specification to recognition," International Journal of Fuzzy and Intelligent Systems, vol.21, no.1-2, pp.33-48, 2010.
5. R.Poppe, "A survey on vision-based human action recognition," Image and Vision Computing, vol.28, no.6, pp.976-990, 2010.
6. D.Minnen and T.Starner, "Recognizing and discovering human actions from on-body sensor data," in Proceedings of the 2005 IEEE International Conference on Multimedia and Expo (ICME'05), Amsterdam, The Netherlands, July 2005.
7. T.Choudhury, S.Consolvo, B.Harrison, J.Hightower, A.LaMarca, L.LeGrand, A.Rahimi, A.Rea, G.Borriello, B.Hemingway, P.Klasnja, K.Koscher, J.Landay, J.Lester, D.Wyatt, and D.Haehnel, "The mobile sensing platform: an embedded activity recognition system," IEEE Pervasive Computing Magazine, vol.7, no.2, pp.32-41, 2008.
8. G.Krassnig, D.Tantinger, C.Hofmann, T.Wittenberg, and M.Struck, "User-friendly system for recognition of activities with an accelerometer," in Proceedings of the 2010 International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth'10), Munich, Germany, May 2010.
9. D.Olguin and A.Pentland, "Human activity recognition: accuracy across common locations for wearable sensors," in Proceedings of the 2006 IEEE International Symposium on Wearable Computers (ISW C'06), Montreaux, Switzerland, October 2006.
10. F.Mastrogiovanni, A.Bagnasco, G.Allasia, and A.Giuni, "The shell project: a secure habitat for an enhanced long living-design and implementation guidelines for a new concept of people assistance," in Proceedings of the Third International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010), Rome, Italy, November 2010.
11. c.Rasmussen and C.Williams, Gaussian Processes for Machine Learning.Cambridge, MA, USA: MIT Press, 2006.
12. B.Bruno, F.Mastrogiovanni, A.Sgorbissa, T.Vernazza, and R.Zaccaria, "Human motion modeling and recognition: a computational approach," in Proceedings of the 8th IEEE International Conference on Automation Science and Engineering (CASE 2012), Seoul, Korea, August 2012.
13. A.Castro and D.Donoho, "Does median filtering truly preserve edges better than linear filtering?" T he Annals of Statistics, vol.37, no.3, pp.1172-1206,2009.
14. D.Karantonis, M.Narayanan, M.Mathie, N.Lovell, and B.Celler, "Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring," IEEE Transactions on Information Technology in Biomedicine, vol.10, no.I, pp.156-167, 2006.
15. P.Mahalanobis, "On the generalized distance in statistics," Proceedings of the National Institute of Sciences of India, vol.2, no.I, pp.49-55, 1936.
16. H.Sakoe and S.Chiba, "Dynamic programming algorithm optimization for spoken word recognition," IEEE Transactions on Acoustics, Speech and Signal Processing, vol.26, no.1, pp.43-49, 1978.
17. T.Giorgino, "Computing and visualizing dynamic time warping alignments in r: the dtw package," Journal of Statistical Software, vol.31, no.7, pp.1-24, 2009.