4 accepted papers
As the labor force decreases, the demand for labor-saving automatic anomalous sound detection technology that conducts maintenance of industrial equipment has grown. Conventional approaches detect anomalies based on the reconstruction errors of an autoencoder. However, when the target machine sound…
Multiple stimulus coding plays an important role in a steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI). In conventional SSVEP-based BCIs, multiple visual stimuli are modulated with different properties such as frequencies and/or phases. However, the number of propert…
Brain-computer interfacing (BCI) based on steady-state visual evoked potentials (SSVEPs) is one of the most promising techniques due to its high performance. A state-of-the-art is a BCI based on hybrid frequency and phase coded SSVEP, which needs a large set of calibration data as reference signals,…
An asynchronous brain-computer interface (BCI) is one of the crucial challenges in biomedical signal processing. In asynchronous BCIs, a state when a user does not intend to input commands needs to be distinguished from a state when he/she does. These states are called non-control (NC) state and int…