Amin Haji Abolhassani

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Playing musical instruments such as chordophones, percussions and keyboard types accompany with harmonic interaction of player's hand with the instruments. In this work, we present a novel approach that enables the user to imitate the music playing gestures around mobile devices. In our approach, touch-less gestures, which change magnetic field around the(More)
We present in this paper a signal subspace-based approach for enhancing a noisy signal. This algorithm is based on a principal component analysis (PCA) in which the optimal sub-space selection is provided by a variance of the reconstruction error (VRE) criterion. This choice overcomes many limitations encountered with other selection criteria, like(More)
We present in this paper a subspace approach for enhancing a noisy speech signal. The original algorithm for model identification from which we have derived our method has been used in the field of fault detection and diagnosis. This algorithm is based on principal component analysis in which the optimal subspace selection is provided by a variance of the(More)
It has been known for a long time that visual task greatly influences eye movement patterns. Perhaps the best demonstration of this is the celebrated study of Yarbus showing that different eye movement scanpaths emerge depending on the visual. Forward Yarbus process, the effect of visual task on eye movement pattern, has been investigated for various tasks.(More)
— Digital music performance require high degree of interaction using natural, intuitive input controllers that provide fast feedback on user's action. One of the primary considerations of professional artists is a powerful and creative tool that minimizes the number of steps required for the speed-demanding processes. Most of the musical performance(More)
The visuospatial learning of a map on cellphone displays was examined. The spatial knowledge of human participants was assessed after they had learned the relative positions of London Underground stations on a map via passive, marginally active, or active exploration. Following learning, the participants were required to answer questions in relation to the(More)
In recent years, Automatic Speech Recognition (ASR) systems designed to work in controlled environments using clean speech have reached very high levels of performance. However, the accuracy of speech recognition degrades severely when the systems are operated in noisy environments. In this thesis we address the problem of single-channel speech enhancement.(More)
This paper presents a system that allows the user to interact by speech with a Radio-Frequency IDentification (RFID) network working in a highly noisy environment. A new dialog framework is proposed in order to give the human operators the ability to communicate with the system in a more natural fashion. This is achieved by the implementation of the(More)
Eye movement is a rich modality that can provide us with a window into a person's mind. In a typical human-human interaction, we can get information about the behavioral state of the others by examining their eye movements. For instance, when a poker player looks into the eyes of his opponent, he looks for any indication of bluffing by verifying the(More)