The follow-up of some cardiac diseases may be achieved by ECG-holter record analysis. A
heartbeat clustering method can be used to reduce the usually high computational cost of …

In this work, the acoustic and spectral characteristics and the automatic recognition of
human emotional states through speech analysis have been studied. Acoustic features have …

This paper concerns a sub-area of a larger research field of Affective Computing, focusing
on the employment of affect-recognition systems using speech modality. It is proposed that …

The main purpose of this thesis is to develop a method of analyzing. It is the probability-
based multivariate analysis method, names as Bayesian-based partial least squares …

本論文的目的在於建構一種分析法則, 是一種以機率為基礎的多變數分析方法.
此新的學習法則稱之貝氏架構下部份最小平方法, 綜合了廣泛應用在生物訊號量測與分析的多 …

搖桿為最常見的電動輪椅操作方式, 在操控敏感度與速度, 轉動方向調整有極大的便利性. 然而,
對於四肢障礙者而言, 使用手操控搖桿是生理上的限制, 無法流暢地使用此操控方式 …

本論文的目的在於建構一種分析法則, 在未經處理的原始資料去除不必要的隱藏訊息.
此新的學習法則稱之調控式的部份最小平方法, 是合併部份最小平方法和規律法的優點 …

One of the only things that people who experience total paralysis in all four limbs can do is
the ability to produce sound by the vibration of their vocal cords. Therefore, the development …

Feature selection is a pre-processing for choosing relevant features and ignores features
that tend to have no predictive information. Feature selection is applied to improve the …

In this paper, we develop a novel Partial Regularized Least Squares (PRLS) method which
combined regularization algorithm with Partial Least Squares (PLS) analysis for noise …