Application of Gesture Interface to Transcription for People with Motor Dysfunction
| Autor: | Katsuhiro Mizuno, Ikushi Yoda, Tsuyoshi Nakayama, Daisuke Nishida, Kazuyuki Itoh |
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| Rok vydání: | 2020 |
| Předmět: |
020205 medical informatics
InformationSystems_INFORMATIONINTERFACESANDPRESENTATION(e.g. HCI) Computer science Interface (computing) Input device 02 engineering and technology Task (project management) Augmentative and alternative communication Human–computer interaction Gesture recognition 0202 electrical engineering electronic engineering information engineering Transcription (software) Set (psychology) Gesture |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783030588045 ICCHP (2) |
| DOI: | 10.1007/978-3-030-58805-2_40 |
| Popis: | We previously developed a gesture interface for people with motor dysfunction using an RGB-D camera. We collected 226 gesture data from 58 individuals with motor dysfunction and classified the data. We then developed multiple recognition modules based on the data. The interface has nine modules for recognizing various types of gestures. For this study, we had a person with a disability use this interface in combination with an input device he had been using trackball for a transcription task. We set two gesture-input switches from the movement of two sites on his body that were easy for him to move. The user performed character input in the on-screen keyboard by using the trackball and separately operated the sound player using our gesture interface. He continued this activity using this combination daily use for half a year. He was able to reduce the input time by half. We are now supplying AAGI for Japanese people with motor dysfunction freely. We will supply AAGI for foreign users through our home page in next year. |
| Databáze: | OpenAIRE |
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