We propose planning behavior selection network (PBSN) based brain-computer interface (BCI) for controlling a humanoid robot. BCI provides commands to external devices or computer applications only using user's bra...
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We propose planning behavior selection network (PBSN) based brain-computer interface (BCI) for controlling a humanoid robot. BCI provides commands to external devices or computer applications only using user's brain signals. However, few commands from BCI cause user fatigue. PBSN is a hybrid method between reactive system and goal-oriented planning system. PBSN has two beneficial points. One is robustness of reactive system and the other is long-term goal planning of planning system. This only requires high-level commands from the user and frees from make low level command to operate the robot. Finally, it makes possible to reduce user's fatigue. Online accuracy test gives reasonable accuracy rate, and PBSN based online simulation shows possibility as an assistant humanoid robot.
Recent research investigating the use of a trackball mouse in a wearable computing context showed that users have difficulty moving the cursor to the correct location [1]. Dynamic gain control may make cursor not to s...
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Many new services have emerged to realize ubiquitous computing environments, owing to the increasing supply of mobile devices and more widespread Internet and wireless network facilities. This paper introduces the U-C...
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ISBN:
(纸本)0769521231
Many new services have emerged to realize ubiquitous computing environments, owing to the increasing supply of mobile devices and more widespread Internet and wireless network facilities. This paper introduces the U-Campus (Ubiquitous computing for Campus) service. This study has been conducted through interdisciplinary research by four participating departments. The U-Campus Project is part of the UTOPIA project (Ubiquitous computing TOwn Project: Intelligent context Awareness), which covers town- and city-wide environments. Currently, a test bed for U-Campus has been constructed to support various services such as U-Profile, U-Messaging and U-Campus Tour Guide services. Students, professors, school staffs, and campus visitors can easily access the various available campus services by using image-based sensors and mobile devices such as CDMA cellular phones or WiFi smart phones. The major purpose of this research is to provide a context-aware U-Campus environment to users by utilizing sensors and mobile devices currently available in the public sector and the marketplace.
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