Towards realtime measurement of connectedness in human movement

Michael Krzyzaniak, Rushil Anirudh, Vinay Venkataraman, Pavan Turaga, Sha Xin Wei

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With the proliferation of wearable sensors, we have access to rich information regarding human movement that gives us insights into our daily activities like never before. In a sensor rich environment, it is desirable to build systems that are aware of human interactions by studying contextual information. In this paper, we attempt to quantify one such contextual cue - the connectedness of physical movement. Inspired by the Semblance of Typology Entrainments, we estimate the connectedness of trained dancers as observed from inertial sensors, using a diverse set of techniques such as quaternion correlation, approximate entropy, Fourier temporal pyramids, and discrete cosine transform. Preliminary experiments show that it is possible to robustly estimate connectedness that is invariant to frequency, amplitude, noise or time lag.

Original languageEnglish (US)
Title of host publicationACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery
Pages120-123
Number of pages4
Volume14-15-August-2015
ISBN (Print)9781450334570
DOIs
StatePublished - Aug 14 2015
Event2nd International Workshop on Movement and Computing, MOCO 2015 - Vancouver, Canada
Duration: Aug 14 2015Aug 15 2015

Other

Other2nd International Workshop on Movement and Computing, MOCO 2015
CountryCanada
CityVancouver
Period8/14/158/15/15

Fingerprint

Discrete cosine transforms
Sensors
Entropy
Experiments
Wearable sensors

Keywords

  • Automated society
  • Automation
  • CHI
  • Connectedness
  • Correlation
  • Cross approximate entropy
  • Discrete cosine transform
  • Fourier temporal pyramids
  • Group intention
  • Group movement
  • HCI
  • Human movement
  • Social signal processing
  • Time series analysis
  • Wearable sensing

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Krzyzaniak, M., Anirudh, R., Venkataraman, V., Turaga, P., & Wei, S. X. (2015). Towards realtime measurement of connectedness in human movement. In ACM International Conference Proceeding Series (Vol. 14-15-August-2015, pp. 120-123). Association for Computing Machinery. https://doi.org/10.1145/2790994.2791012

Towards realtime measurement of connectedness in human movement. / Krzyzaniak, Michael; Anirudh, Rushil; Venkataraman, Vinay; Turaga, Pavan; Wei, Sha Xin.

ACM International Conference Proceeding Series. Vol. 14-15-August-2015 Association for Computing Machinery, 2015. p. 120-123.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Krzyzaniak, M, Anirudh, R, Venkataraman, V, Turaga, P & Wei, SX 2015, Towards realtime measurement of connectedness in human movement. in ACM International Conference Proceeding Series. vol. 14-15-August-2015, Association for Computing Machinery, pp. 120-123, 2nd International Workshop on Movement and Computing, MOCO 2015, Vancouver, Canada, 8/14/15. https://doi.org/10.1145/2790994.2791012
Krzyzaniak M, Anirudh R, Venkataraman V, Turaga P, Wei SX. Towards realtime measurement of connectedness in human movement. In ACM International Conference Proceeding Series. Vol. 14-15-August-2015. Association for Computing Machinery. 2015. p. 120-123 https://doi.org/10.1145/2790994.2791012
Krzyzaniak, Michael ; Anirudh, Rushil ; Venkataraman, Vinay ; Turaga, Pavan ; Wei, Sha Xin. / Towards realtime measurement of connectedness in human movement. ACM International Conference Proceeding Series. Vol. 14-15-August-2015 Association for Computing Machinery, 2015. pp. 120-123
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