A study on automatic recognition of object use exploiting motion correlation of wireless sensors

S. Bosch, Raluca Marin Perianu, Paul J.M. Havinga, Arie Horst, Mihai Marin Perianu, Andrei Vasilescu

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
42 Downloads (Pure)

Abstract

An essential component in the ubiquitous computing vision is the ability of detecting with which objects the user is interacting during his or her activities. We explore in this paper a solution to this problem based on wireless motion and orientation sensors (accelerometer and compass) worn by the user and attached to objects. We evaluate the performance in realistic conditions, characterized by limited hardware resources, measurement noise due to motion artifacts and unreliable wireless communication. We describe the complete solution, from the theoretical design, going through simulation and tuning, to the full implementation and testing on wireless sensor nodes. The implementation on sensor nodes is lightweight, with low communication bandwidth and processing needs. Compared to existing work, our approach achieves better performance (higher detection accuracy and faster response times), while being much more computationally efficient. The potential of the concept is further illustrated by means of an interactive multi-user game. We also provide a thorough discussion of the advantages, limitations and trade-offs of the proposed solution.
Original languageUndefined
Pages (from-to)875-895
Number of pages21
JournalPersonal and ubiquitous computing
Volume16
Issue number7
DOIs
Publication statusPublished - 2012

Keywords

  • EWI-18593
  • Smart Objects
  • METIS-281521
  • IR-78603
  • Interaction with Objects
  • Magnetometer
  • Compass Sensor
  • Movement Correlation
  • Accelerometer

Cite this

Bosch, S. ; Marin Perianu, Raluca ; Havinga, Paul J.M. ; Horst, Arie ; Marin Perianu, Mihai ; Vasilescu, Andrei. / A study on automatic recognition of object use exploiting motion correlation of wireless sensors. In: Personal and ubiquitous computing. 2012 ; Vol. 16, No. 7. pp. 875-895.
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abstract = "An essential component in the ubiquitous computing vision is the ability of detecting with which objects the user is interacting during his or her activities. We explore in this paper a solution to this problem based on wireless motion and orientation sensors (accelerometer and compass) worn by the user and attached to objects. We evaluate the performance in realistic conditions, characterized by limited hardware resources, measurement noise due to motion artifacts and unreliable wireless communication. We describe the complete solution, from the theoretical design, going through simulation and tuning, to the full implementation and testing on wireless sensor nodes. The implementation on sensor nodes is lightweight, with low communication bandwidth and processing needs. Compared to existing work, our approach achieves better performance (higher detection accuracy and faster response times), while being much more computationally efficient. The potential of the concept is further illustrated by means of an interactive multi-user game. We also provide a thorough discussion of the advantages, limitations and trade-offs of the proposed solution.",
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A study on automatic recognition of object use exploiting motion correlation of wireless sensors. / Bosch, S.; Marin Perianu, Raluca; Havinga, Paul J.M.; Horst, Arie; Marin Perianu, Mihai; Vasilescu, Andrei.

In: Personal and ubiquitous computing, Vol. 16, No. 7, 2012, p. 875-895.

Research output: Contribution to journalArticleAcademicpeer-review

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