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The paper presents an ongoing investigation of applying finite state machines (FSM) to drive a meal assistance robot based on electromyogram (EMG) signals. An adapting single-threshold method on EMG power is proposed to recognize different elevation gestures. Predefined control commands are output by FSM based on the extracted EMG features, and used to operate the robot. The performance of control...
This paper introduced an expert knowledge-based automatic sleep stage determination system working on statistical signal processing. The main methods included two processes. One was expert knowledge base construction, which was developed in terms of probability density functions (pdfs) of parameters for each sleep stage. Here, the visual inspection by a clinician was utilized rather than stage scoring...
In this paper, an experiment was designed to get the electroencephalography (EEG) when people caught the vision of moving to different direction (right, left, front, back). Through Fourier Transform., the feature of the EEG was obtained. Then, the algorithm of principal component analysis (PCA) was used to simplify the feature. Finally, in order to classify the direction perception EEG, it was distinguished...
In this paper, an experiment was designed to get the electroencephalography (EEG) when people caught the vision of moving to different direction (right, left, front, back). Through Fourier Transform., the feature of the EEG was obtained. Then, the algorithm of principal component analysis (PCA) was used to simplify the feature. Finally, in order to classify the direction perception EEG, it was distinguished...
It is understood that the high precision and accurate test signal is necessary in the traditional analog to digital converter (ADC) testing. In this paper, a new method for estimating the differential nonlinearity (DNL) and integral nonlinearity (INL) of ADCs with a distorted sinusoidal stimulus is proposed. By means of a simple voltage divider circuit, let the original and divided distorted stimulus...
In content-based video analysis, shot boundary detection (SBD) is a common first step to segment a video into fundamental units of shots, each composing consecutive frames filmed with a single camera act. Many methods have been proposed in the literature for SBD, and many require the use of different models to determine the types of various shot boundaries. In this paper, we propose a new and effective...
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