Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks

Mihai Marin Perianu, C. Lombriser, O. Amft, Paul J.M. Havinga, G. Troster

Research output: Book/ReportReportProfessional

Abstract

Wireless sensor nodes can act as distributed detectors for recognizing activities online, with the final goal of assisting the users in their working environment. We propose an activity recognition architecture based on fuzzy logic, through which multiple nodes collaborate to produce a reliable recognition result from unreliable sensor data. As an extension to the normal fuzzy inference, we incorporate temporal order knowledge of the sequences of operations involved in the activities. The performance evaluation is based on experimental data from a car assembly trial. The average recognition accuracy is 93.53\%. We also present early experiences with implementing the recognition system on sensor nodes. The results show that the algorithms can run online, with execution times less than 40ms for the whole recognition chain and memory overhead in the order of 1.5kB RAM.
Original languageUndefined
Place of PublicationEnschede
PublisherComputer Architecture for Embedded Systems (CAES)
Number of pages18
Publication statusPublished - 1 Sep 2007

Publication series

NameCTIT Technical Report Series
No.LNCS4549/TR-CTIT-07-68
ISSN (Print)1381-3625

Keywords

  • METIS-242201

Cite this

Marin Perianu, M., Lombriser, C., Amft, O., Havinga, P. J. M., & Troster, G. (2007). Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks. (CTIT Technical Report Series; No. LNCS4549/TR-CTIT-07-68). Enschede: Computer Architecture for Embedded Systems (CAES).
Marin Perianu, Mihai ; Lombriser, C. ; Amft, O. ; Havinga, Paul J.M. ; Troster, G. / Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks. Enschede : Computer Architecture for Embedded Systems (CAES), 2007. 18 p. (CTIT Technical Report Series; LNCS4549/TR-CTIT-07-68).
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abstract = "Wireless sensor nodes can act as distributed detectors for recognizing activities online, with the final goal of assisting the users in their working environment. We propose an activity recognition architecture based on fuzzy logic, through which multiple nodes collaborate to produce a reliable recognition result from unreliable sensor data. As an extension to the normal fuzzy inference, we incorporate temporal order knowledge of the sequences of operations involved in the activities. The performance evaluation is based on experimental data from a car assembly trial. The average recognition accuracy is 93.53\{\%}. We also present early experiences with implementing the recognition system on sensor nodes. The results show that the algorithms can run online, with execution times less than 40ms for the whole recognition chain and memory overhead in the order of 1.5kB RAM.",
keywords = "METIS-242201",
author = "{Marin Perianu}, Mihai and C. Lombriser and O. Amft and Havinga, {Paul J.M.} and G. Troster",
year = "2007",
month = "9",
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series = "CTIT Technical Report Series",
publisher = "Computer Architecture for Embedded Systems (CAES)",
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Marin Perianu, M, Lombriser, C, Amft, O, Havinga, PJM & Troster, G 2007, Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks. CTIT Technical Report Series, no. LNCS4549/TR-CTIT-07-68, Computer Architecture for Embedded Systems (CAES), Enschede.

Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks. / Marin Perianu, Mihai; Lombriser, C.; Amft, O.; Havinga, Paul J.M.; Troster, G.

Enschede : Computer Architecture for Embedded Systems (CAES), 2007. 18 p. (CTIT Technical Report Series; No. LNCS4549/TR-CTIT-07-68).

Research output: Book/ReportReportProfessional

TY - BOOK

T1 - Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks

AU - Marin Perianu, Mihai

AU - Lombriser, C.

AU - Amft, O.

AU - Havinga, Paul J.M.

AU - Troster, G.

PY - 2007/9/1

Y1 - 2007/9/1

N2 - Wireless sensor nodes can act as distributed detectors for recognizing activities online, with the final goal of assisting the users in their working environment. We propose an activity recognition architecture based on fuzzy logic, through which multiple nodes collaborate to produce a reliable recognition result from unreliable sensor data. As an extension to the normal fuzzy inference, we incorporate temporal order knowledge of the sequences of operations involved in the activities. The performance evaluation is based on experimental data from a car assembly trial. The average recognition accuracy is 93.53\%. We also present early experiences with implementing the recognition system on sensor nodes. The results show that the algorithms can run online, with execution times less than 40ms for the whole recognition chain and memory overhead in the order of 1.5kB RAM.

AB - Wireless sensor nodes can act as distributed detectors for recognizing activities online, with the final goal of assisting the users in their working environment. We propose an activity recognition architecture based on fuzzy logic, through which multiple nodes collaborate to produce a reliable recognition result from unreliable sensor data. As an extension to the normal fuzzy inference, we incorporate temporal order knowledge of the sequences of operations involved in the activities. The performance evaluation is based on experimental data from a car assembly trial. The average recognition accuracy is 93.53\%. We also present early experiences with implementing the recognition system on sensor nodes. The results show that the algorithms can run online, with execution times less than 40ms for the whole recognition chain and memory overhead in the order of 1.5kB RAM.

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Marin Perianu M, Lombriser C, Amft O, Havinga PJM, Troster G. Distributed Activity Recognition with Fuzzy-Enabled Wireless Sensor Networks. Enschede: Computer Architecture for Embedded Systems (CAES), 2007. 18 p. (CTIT Technical Report Series; LNCS4549/TR-CTIT-07-68).