Motion-path based in car gesture control of the multimedia devices

Rahman, A.; Saboune, Jamal; Saddik, Abdulmotaleb El

doi:10.1145/2069000.2069013

Cited by 27 publications

(17 citation statements)

References 12 publications

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“…The Kinect has also been used for applications that provide security to the user. Rahman et al [38] mention a number of functions contained on a car dashboard that are controlled by touch interfaces, which increases the risk and distraction of drivers on the roads. To alleviate this problem, the authors developed and evaluated a purely gestural interface to control secondary functions of a car, that does not use a graphical interface, but audible and haptic feedback.…”

Section: Perceptual Technologiesmentioning

confidence: 99%

Gesture-Based Interaction in Domotic Environments: State of the Art and HCI Framework Inspired by the Diversity

Correia

Miranda

Hornung

2013

Human-Computer Interaction – INTERACT 2013

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Abstract. Applications for the control and automation of residential environments (domotics) are an emerging area of study within HumanComputer Interaction (HCI). One of the related challenges is to design gestural interaction with these applications. This paper explores socio-technical aspects of gestural interaction in intelligent domotic environments. An analysis of literature in the area revealed that some HCI-related aspects are treated in a restricted manner that neglects socio-technical dimensions. We propose a framework for discussing related challenges in an integrated manner, considering the dimensions people, gestural mode of interaction, and domotics. Some of these challenges are addressed by literature outside the area of domotics. Many open research questions remain, e.g. how to design gestural vocabularies that minimize ambiguity and consider cultural and social aspects. The proposed framework might contribute to answering these questions thus to designing meaningful interaction that is intuitive and easy to learn.

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Section: Perceptual Technologiesmentioning

confidence: 99%

Gesture-Based Interaction in Domotic Environments: State of the Art and HCI Framework Inspired by the Diversity

Correia

Miranda

Hornung

2013

Human-Computer Interaction – INTERACT 2013

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“…The combination of RGB-and depth-camera based tracking allows for a more robust gesture tracking and "is tolerant to the changing lighting conditions" [9]. In [10] the Kinect was mounted on the car's ceiling, successfully tracking gestures in the gearshift area.…”

Section: Related Workmentioning

confidence: 99%

“…According to earlier work, direct interaction is not supported: all hand movements are tracked in the same spot but are used to control different applications. In [9] the sensor was placed on the dashboard and gestures were executed in front of the windshield. However, hand movements visible from the outside can cause misunderstandings and thus dangerous traffic situations.…”

Section: Related Workmentioning

confidence: 99%

“…In prior automotive gestural systems, gestures were performed in a fixed interaction space [1,9,10,13]. In contrast, we allow movements close to the intended device, enabling direct interaction.…”

Section: A New Approachmentioning

confidence: 99%

“…In contrast, we allow movements close to the intended device, enabling direct interaction. Additionally, visibility of the gestures to other traffic participants [9] can hereby be prevented, reducing the risk for possible misunderstandings.…”

Section: A New Approachmentioning

confidence: 99%

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Culturally Independent Gestures for In-Car Interactions

Loehmann¹,

Knobel

Lamara

et al. 2013

Human-Computer Interaction – INTERACT 2013

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Abstract. In this paper we report on our ongoing work to introduce freehand gestures in cars as an alternative input modality. Contactless gestures have hardly been successful in cars so far, but have received attention in other contexts recently. We propose a way to achieve a better acceptance by both drivers and car manufacturers. Using a four-step process, we developed a small set of culturally independent and therefore easy-to-learn gestures, which can be used universally across different devices. We built a first prototype using distance sensors to detect the stop gesture in front of several devices. We conducted a user study during actual driving situations, testing the pragmatic and hedonic quality of the approach as well as its attractiveness. The results show a high acceptance of our approach and confirm the potential of freehand gestures as an alternative input modality in the car.

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