Touch-less interaction with medical images using hand & foot gestures

Shahram Jalaliniya; Jeremiah Smith; Miguel Sousa; Lars Büthe; Thomas Pederson

doi:10.1145/2494091.2497332

Touch-less interaction with medical images using hand & foot gestures

Shahram Jalaliniya, Jeremiah Smith, Miguel Sousa, Lars Büthe, Thomas Pederson

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

Abstract

Sterility restrictions in surgical settings make touch-less interaction an interesting solution for surgeons to interact directly with digital images. The HCI community has already explored several methods for touch-less interaction including those based on camera-based gesture tracking and voice control. In this paper, we present a system for gesture-based interaction with medical images based on a single wristband sensor and capacitive floor sensors, allowing for hand and foot gesture input. The first limited evaluation of the system showed an acceptable level of accuracy for 12 different hand & foot gestures; also users found that our combined hand and foot based gestures are intuitive for providing input.

Original language	English
Title of host publication	UbiComp '13 Adjunct Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Number of pages	10
Publisher	Association for Computing Machinery
Publication date	2013
ISBN (Print)	978-1-4503-2215-7
DOIs	https://doi.org/10.1145/2494091.2497332
Publication status	Published - 2013

Keywords

gesture-based interaction
touch-less interaction in hospital
wearable sensor
floor sensor

Access to Document

10.1145/2494091.2497332

http://doi.acm.org/10.1145/2494091.2497332

1 Other (prizes, external teaching and other activities) - Period visiting other institutions

Secondment at ETH Wearable Computing Lab in Zurich
Jalaliniya, S. (Participant)
20 Feb 2014 → 20 May 2014
Activity: Other activity types › Other (prizes, external teaching and other activities) - Period visiting other institutions

Cite this

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title = "Touch-less interaction with medical images using hand & foot gestures",

abstract = "Sterility restrictions in surgical settings make touch-less interaction an interesting solution for surgeons to interact directly with digital images. The HCI community has already explored several methods for touch-less interaction including those based on camera-based gesture tracking and voice control. In this paper, we present a system for gesture-based interaction with medical images based on a single wristband sensor and capacitive floor sensors, allowing for hand and foot gesture input. The first limited evaluation of the system showed an acceptable level of accuracy for 12 different hand & foot gestures; also users found that our combined hand and foot based gestures are intuitive for providing input.",

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author = "Shahram Jalaliniya and Jeremiah Smith and Miguel Sousa and Lars B{\"u}the and Thomas Pederson",

year = "2013",

doi = "10.1145/2494091.2497332",

language = "English",

isbn = "978-1-4503-2215-7 ",

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Touch-less interaction with medical images using hand & foot gestures. / Jalaliniya, Shahram; Smith, Jeremiah; Sousa, Miguel et al.
UbiComp '13 Adjunct Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication . Association for Computing Machinery, 2013.

Research output: Conference Article in Proceeding or Book/Report chapter › Article in proceedings › Research › peer-review

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AU - Smith, Jeremiah

AU - Sousa, Miguel

AU - Büthe, Lars

AU - Pederson, Thomas

PY - 2013

Y1 - 2013

N2 - Sterility restrictions in surgical settings make touch-less interaction an interesting solution for surgeons to interact directly with digital images. The HCI community has already explored several methods for touch-less interaction including those based on camera-based gesture tracking and voice control. In this paper, we present a system for gesture-based interaction with medical images based on a single wristband sensor and capacitive floor sensors, allowing for hand and foot gesture input. The first limited evaluation of the system showed an acceptable level of accuracy for 12 different hand & foot gestures; also users found that our combined hand and foot based gestures are intuitive for providing input.

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KW - gesture-based interaction

KW - touch-less interaction in hospital

KW - wearable sensor

KW - floor sensor

KW - gesture-based interaction

KW - touch-less interaction in hospital

KW - wearable sensor

KW - floor sensor

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DO - 10.1145/2494091.2497332

M3 - Article in proceedings

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BT - UbiComp '13 Adjunct Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication

PB - Association for Computing Machinery

ER -

Touch-less interaction with medical images using hand & foot gestures

Abstract

Keywords

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Activities

Secondment at ETH Wearable Computing Lab in Zurich

Cite this