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

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › 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.

Originalsprog	Engelsk
Titel	UbiComp '13 Adjunct Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Antal sider	10
Forlag	Association for Computing Machinery
Publikationsdato	2013
ISBN (Trykt)	978-1-4503-2215-7
DOI	https://doi.org/10.1145/2494091.2497332
Status	Udgivet - 2013

Emneord

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

Adgang til dokumentet

10.1145/2494091.2497332

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

1 Andet (priser, ekstern undervisning samt andet). - Gæsteophold ved andre institutioner

Secondment at ETH Wearable Computing Lab in Zurich
Jalaliniya, S. (Deltager)
20 feb. 2014 → 20 maj 2014
Aktivitet: Andre aktivitetstyper › Andet (priser, ekstern undervisning samt andet). - Gæsteophold ved andre institutioner

Citationsformater

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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.",

keywords = "gesture-based interaction, touch-less interaction in hospital, wearable sensor, floor sensor, gesture-based interaction, touch-less interaction in hospital, wearable sensor, floor sensor",

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

year = "2013",

doi = "10.1145/2494091.2497332",

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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.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Touch-less interaction with medical images using hand & foot gestures

AU - Jalaliniya, Shahram

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.

AB - 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.

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

U2 - 10.1145/2494091.2497332

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

Emneord

Adgang til dokumentet

Fingeraftryk

Aktiviteter

Secondment at ETH Wearable Computing Lab in Zurich

Citationsformater