A driver fatigue recognition model based on information fusion and dynamic Bayesian network
Information Sciences: an International Journal
NeuroPhone: brain-mobile phone interface using a wireless EEG headset
Proceedings of the second ACM SIGCOMM workshop on Networking, systems, and applications on mobile handhelds
Psycho-physiological measures for assessing cognitive load
Proceedings of the 12th ACM international conference on Ubiquitous computing
GeeAir: a universal multimodal remote control device for home appliances
Personal and Ubiquitous Computing
TaskShadow: Toward Seamless Task Migration across Smart Environments
IEEE Intelligent Systems
FlyingBuddy: augment human mobility and perceptibility
Proceedings of the 13th international conference on Ubiquitous computing
Brain-computer interfaces for 3D games: hype or hope?
Proceedings of the 6th International Conference on Foundations of Digital Games
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The motor impaired people have much limit in moving. The devices augmenting their mobility will be much helpful for improving their living experiences. This poster develops a brain-controlled assistive system, called FlyingBuddy2, to aid the handicapped in mobility. It uses the brain EEG signals to directly control a quadrotor. Signals from an EEG headset are transmitted wirelessly to a computer, then the decoded brain signals are converted to trigger the quadrotor to move in 3D space. Three applications are developed: thinking to play games, thinking to see, and thinking to take pictures.