Decoding human intent using a wearable system and multi-modal sensor data

Cemil S. Geyik; Arindam Dutta; Umit Ogras; Daniel Bliss

doi:10.1109/ACSSC.2016.7869168

Decoding human intent using a wearable system and multi-modal sensor data

Cemil S. Geyik, Arindam Dutta, Umit Ogras, Daniel Bliss

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

3 Scopus citations

Abstract

Despite the phenomenal advances in the computational power of electronic systems, human-machine interaction has been largely limited to simple control panels, such as keyboards and mice, which only use physical senses. Consequently, these systems either rely critically on close human guidance or operate almost independently. A richer experience can be achieved if cognitive inputs are used in addition to the physical senses. Towards this end, this paper introduces a simple wearable system that consists of a motion processing unit and brain-machine interface. We show that our system can successfully employ cognitive indicators to predict human activity.

Original language	English (US)
Title of host publication	Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
Editors	Michael B. Matthews
Publisher	IEEE Computer Society
Pages	846-850
Number of pages	5
ISBN (Electronic)	9781538639542
DOIs	https://doi.org/10.1109/ACSSC.2016.7869168
State	Published - Mar 1 2017
Event	50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 - Pacific Grove, United States Duration: Nov 6 2016 → Nov 9 2016

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Other

Other	50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
Country/Territory	United States
City	Pacific Grove
Period	11/6/16 → 11/9/16

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

Access to Document

10.1109/ACSSC.2016.7869168

Cite this

Geyik, C. S., Dutta, A., Ogras, U., & Bliss, D. (2017). Decoding human intent using a wearable system and multi-modal sensor data. In M. B. Matthews (Ed.), Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 (pp. 846-850). [7869168] (Conference Record - Asilomar Conference on Signals, Systems and Computers). IEEE Computer Society. https://doi.org/10.1109/ACSSC.2016.7869168

Decoding human intent using a wearable system and multi-modal sensor data. / Geyik, Cemil S.; Dutta, Arindam; Ogras, Umit et al.
Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016. ed. / Michael B. Matthews. IEEE Computer Society, 2017. p. 846-850 7869168 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

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

Geyik, CS, Dutta, A, Ogras, U & Bliss, D 2017, Decoding human intent using a wearable system and multi-modal sensor data. in MB Matthews (ed.), Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016., 7869168, Conference Record - Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society, pp. 846-850, 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016, Pacific Grove, United States, 11/6/16. https://doi.org/10.1109/ACSSC.2016.7869168

Geyik CS, Dutta A, Ogras U, Bliss D. Decoding human intent using a wearable system and multi-modal sensor data. In Matthews MB, editor, Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016. IEEE Computer Society. 2017. p. 846-850. 7869168. (Conference Record - Asilomar Conference on Signals, Systems and Computers). doi: 10.1109/ACSSC.2016.7869168

Geyik, Cemil S. ; Dutta, Arindam ; Ogras, Umit et al. / Decoding human intent using a wearable system and multi-modal sensor data. Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016. editor / Michael B. Matthews. IEEE Computer Society, 2017. pp. 846-850 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

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Decoding human intent using a wearable system and multi-modal sensor data

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