Ali-Akbar Samadani

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—The Laban Effort and Shape components provide a systematic tool for a compact and informative description of the dynamic qualities of movements. To enable the application of Laban notation in computational movement analysis, measurable physical correlates of Effort and Shape components need to be identified. Such physical correlates enable quantification(More)
Human hands are the most dexterous of human limbs and hand gestures play an important role in non-verbal communication. Underlying electromyograms associated with hand gestures provide a wealth of information based on which varying hand gestures can be recognized. This paper develops an inter-individual hand gesture recognition model based on Hidden Markov(More)
—Body movements communicate affective expressions and, in recent years, computational models have been developed to recognize affective expressions from body movements or to generate movements for virtual agents or robots which convey affective expressions. This survey summarizes the state of the art on automatic recognition and generation of such(More)
Cognitive abilities similar to other mental or physical abilities develop and change during the course of life. Spatial processing is a cognitive ability, which has been suggested to deteriorate by age. The focus of this paper is to study the change of real time egocentric spatial processing in humans by age. For this, an interactive computer game played(More)
Brain computer interfaces (BCI) can provide communication opportunities for individuals with severe motor disabilities. Transcranial Doppler ultrasound (TCD) measures cerebral blood flow velocities and can be used to develop a BCI. A previously implemented TCD BCI system used verbal and spatial tasks as control signals; however, the spatial task involved a(More)