Neural Networks
WUAUC'01 Proceedings of the 2001 EC/NSF workshop on Universal accessibility of ubiquitous computing: providing for the elderly
A log-linearized Gaussian mixture network and its application toEEG pattern classification
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A recurrent log-linearized Gaussian mixture network
IEEE Transactions on Neural Networks
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This paper proposes a universal entertainment interface for operation of amusement machines, such as video game machines and radio control toys. In the proposed interface system, biological signals are used as input, where users can choose some specific biological signal and configuration of signal measurement in accordance with their preference, physical condition (disabled or not), and degree of the disability. From the input signals, users’ intention of operation can be estimated with a probabilistic neural network (PNN), and then, control commands can be determined accordingly. With the proposed interface, people, even those with severe physical disabilities, are able to operate amusement machines. To verify validity of the proposed method, experiments were conducted with a video game machine.