EarTouch
Autor: | Bruce H. Thomas, Maki Sugimoto, Yuta Sugiura, Takashi Kikuchi, Katsutoshi Masai |
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Přispěvatelé: | Kikuchi, Takashi, Sugiura, Yuta, Masai, Katsutoshi, Sugimoto, Maki, Thomas, Bruce H, 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, (MobileHCI 2017) Vienna, Austria 4-7 September 2017 |
Rok vydání: | 2017 |
Předmět: |
Surface (mathematics)
Earphone InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g. HCI) Computer science Interface (computing) Acoustics 05 social sciences ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering 02 engineering and technology Photo Reflective Sensor Deformation (meteorology) GeneralLiterature_MISCELLANEOUS User studies Support vector machine ComputingMethodologies_PATTERNRECOGNITION Skin Deformation 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences 050107 human factors Gesture |
Zdroj: | MobileHCI |
DOI: | 10.1145/3098279.3098538 |
Popis: | In this paper, we propose EarTouch, a new sensing technology for ear-based input for controlling applications by slightly pulling the ear and detecting the deformation by an enhanced earphone device. It is envisioned that EarTouch will enable control of applications such as music players, navigation systems, and calendars as an "eyes-free" interface. As for the operation of EarTouch, the shape deformation of the ear is measured by optical sensors. Deformation of the skin caused by touching the ear with the fingers is recognized by attaching optical sensors to the earphone and measuring the distance from the earphone to the skin inside the ear. EarTouch supports recognition of multiple gestures by applying a support vector machine (SVM). EarTouch was validated through a set of user studies. Refereed/Peer-reviewed |
Databáze: | OpenAIRE |
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