Distributed continuous action recognition using a hidden markov model in body sensor networks

Eric Guenterberg; Hassan Ghasemzadeh; Vitali Loseu; Roozbeh Jafari

doi:10.1007/978-3-642-02085-8_11

Distributed continuous action recognition using a hidden markov model in body sensor networks

Eric Guenterberg, Hassan Ghasemzadeh, Vitali Loseu, Roozbeh Jafari

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

28 Scopus citations

Abstract

One important application of Body Sensor Networks is action recognition. Action recognition often implicitly requires partitioning the sensor data into intervals, then labeling the partitions according to the actions each represents or as a non-action. The temporal partitioning stage is called segmentation and the labeling is called classification. While many effective methods exist for classification, segmentation remains problematic. We present a technique inspired by continuous speech recognition that combines segmentation and classification using Hidden Markov Models. This technique is distributed and only involves limited data sharing between sensor nodes. We show the results of this technique and the bandwidth savings over full data transmission.

Original language	English (US)
Title of host publication	Distributed Computing in Sensor Systems - 5th IEEE International Conference, DCOSS 2009, Proceedings
Pages	145-158
Number of pages	14
DOIs	https://doi.org/10.1007/978-3-642-02085-8_11
State	Published - 2009
Externally published	Yes
Event	5th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2009 - Marina del Rey, CA, United States Duration: Jun 8 2009 → Jun 10 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5516 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2009
Country/Territory	United States
City	Marina del Rey, CA
Period	6/8/09 → 6/10/09

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-02085-8_11

Cite this

Guenterberg, E., Ghasemzadeh, H., Loseu, V., & Jafari, R. (2009). Distributed continuous action recognition using a hidden markov model in body sensor networks. In Distributed Computing in Sensor Systems - 5th IEEE International Conference, DCOSS 2009, Proceedings (pp. 145-158). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5516 LNCS). https://doi.org/10.1007/978-3-642-02085-8_11

Distributed continuous action recognition using a hidden markov model in body sensor networks. / Guenterberg, Eric; Ghasemzadeh, Hassan; Loseu, Vitali et al.
Distributed Computing in Sensor Systems - 5th IEEE International Conference, DCOSS 2009, Proceedings. 2009. p. 145-158 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5516 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Guenterberg, E, Ghasemzadeh, H, Loseu, V & Jafari, R 2009, Distributed continuous action recognition using a hidden markov model in body sensor networks. in Distributed Computing in Sensor Systems - 5th IEEE International Conference, DCOSS 2009, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5516 LNCS, pp. 145-158, 5th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2009, Marina del Rey, CA, United States, 6/8/09. https://doi.org/10.1007/978-3-642-02085-8_11

Guenterberg E, Ghasemzadeh H, Loseu V, Jafari R. Distributed continuous action recognition using a hidden markov model in body sensor networks. In Distributed Computing in Sensor Systems - 5th IEEE International Conference, DCOSS 2009, Proceedings. 2009. p. 145-158. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-02085-8_11

Guenterberg, Eric ; Ghasemzadeh, Hassan ; Loseu, Vitali et al. / Distributed continuous action recognition using a hidden markov model in body sensor networks. Distributed Computing in Sensor Systems - 5th IEEE International Conference, DCOSS 2009, Proceedings. 2009. pp. 145-158 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{10f7b42db5cc43a7be0040db09596023,

title = "Distributed continuous action recognition using a hidden markov model in body sensor networks",

abstract = "One important application of Body Sensor Networks is action recognition. Action recognition often implicitly requires partitioning the sensor data into intervals, then labeling the partitions according to the actions each represents or as a non-action. The temporal partitioning stage is called segmentation and the labeling is called classification. While many effective methods exist for classification, segmentation remains problematic. We present a technique inspired by continuous speech recognition that combines segmentation and classification using Hidden Markov Models. This technique is distributed and only involves limited data sharing between sensor nodes. We show the results of this technique and the bandwidth savings over full data transmission.",

author = "Eric Guenterberg and Hassan Ghasemzadeh and Vitali Loseu and Roozbeh Jafari",

year = "2009",

doi = "10.1007/978-3-642-02085-8_11",

language = "English (US)",

isbn = "3642020844",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "145--158",

booktitle = "Distributed Computing in Sensor Systems - 5th IEEE International Conference, DCOSS 2009, Proceedings",

note = "5th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2009 ; Conference date: 08-06-2009 Through 10-06-2009",

}

TY - GEN

T1 - Distributed continuous action recognition using a hidden markov model in body sensor networks

AU - Guenterberg, Eric

AU - Ghasemzadeh, Hassan

AU - Loseu, Vitali

AU - Jafari, Roozbeh

PY - 2009

Y1 - 2009

N2 - One important application of Body Sensor Networks is action recognition. Action recognition often implicitly requires partitioning the sensor data into intervals, then labeling the partitions according to the actions each represents or as a non-action. The temporal partitioning stage is called segmentation and the labeling is called classification. While many effective methods exist for classification, segmentation remains problematic. We present a technique inspired by continuous speech recognition that combines segmentation and classification using Hidden Markov Models. This technique is distributed and only involves limited data sharing between sensor nodes. We show the results of this technique and the bandwidth savings over full data transmission.

AB - One important application of Body Sensor Networks is action recognition. Action recognition often implicitly requires partitioning the sensor data into intervals, then labeling the partitions according to the actions each represents or as a non-action. The temporal partitioning stage is called segmentation and the labeling is called classification. While many effective methods exist for classification, segmentation remains problematic. We present a technique inspired by continuous speech recognition that combines segmentation and classification using Hidden Markov Models. This technique is distributed and only involves limited data sharing between sensor nodes. We show the results of this technique and the bandwidth savings over full data transmission.

UR - http://www.scopus.com/inward/record.url?scp=68849085179&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=68849085179&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-02085-8_11

DO - 10.1007/978-3-642-02085-8_11

M3 - Conference contribution

AN - SCOPUS:68849085179

SN - 3642020844

SN - 9783642020841

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 145

EP - 158

BT - Distributed Computing in Sensor Systems - 5th IEEE International Conference, DCOSS 2009, Proceedings

T2 - 5th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2009

Y2 - 8 June 2009 through 10 June 2009

ER -

Distributed continuous action recognition using a hidden markov model in body sensor networks

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this