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Combination Therapy With Vigabatrin and Prednisolone Versus Vigabatrin Alone for Infantile Spasms
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The study evaluated the effectiveness of combination therapy with vigabatrin and prednisolone versus vigabatrin alone for treating infantile epileptic spasms syndrome (IESS). Methods This single‐center, single‐blind, randomized trial enrolled infants aged 2–14 months with new‐onset IESS, randomly assigned them (1:1) to receive either
Rachata Boonkrongsak +6 more
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IEE Proceedings - Vision, Image, and Signal Processing, 1994
Presents a method for recognising human-hand gestures using a model based approach. A finite state machine is used to model four qualitatively distinct phases of a generic gesture. Fingertips are tracked in multiple frames to compute motion trajectories. The trajectories are then used for finding the start and stop position of the gesture. Gestures are
Davis, J., Shah, M.
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Presents a method for recognising human-hand gestures using a model based approach. A finite state machine is used to model four qualitatively distinct phases of a generic gesture. Fingertips are tracked in multiple frames to compute motion trajectories. The trajectories are then used for finding the start and stop position of the gesture. Gestures are
Davis, J., Shah, M.
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Gesture recognition in aphasia
Journal of Clinical Neuropsychology, 1980abstract to study the relationship between verbal and nonverbal behaviour in aphasia, a Gesture Recognition Test (GRT) was given to 111 aphasic patients and to 48 normal controls (NC). Forty-eight aphasics were impaired on the GRT. Global, Wernicke's and Transcortical aphasics performed worse than Broca's, Conduction and Anomic aphasics, whose scores ...
José M. Ferro +3 more
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2012 19th IEEE International Conference on Image Processing, 2012
This paper presents a novel method for static gesture recognition based on visual attention. Our proposed method makes use of a visual attention model to automatically select points that correspond to fixation points of the human eye. Gesture recognition is then performed using the determined visual attention fixation points.
Samuel Dodge, Lina J. Karam
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This paper presents a novel method for static gesture recognition based on visual attention. Our proposed method makes use of a visual attention model to automatically select points that correspond to fixation points of the human eye. Gesture recognition is then performed using the determined visual attention fixation points.
Samuel Dodge, Lina J. Karam
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2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), 2019
Mostly communication in current scenario is happened via vocal sounds with body language gestures. Vocal sound play an important role in communication but at the same time, various body language expressions add more importance to communication. Even in few cases, body language played a very important role like communication between deaf & dumb people ...
Prerna Sharma, Naman Sharma
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Mostly communication in current scenario is happened via vocal sounds with body language gestures. Vocal sound play an important role in communication but at the same time, various body language expressions add more importance to communication. Even in few cases, body language played a very important role like communication between deaf & dumb people ...
Prerna Sharma, Naman Sharma
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Proceedings of the International Conference on Machine Vision and Applications, 2018
This paper presents a methodology for a real time mobile gesture recognition system. It presents a new kind of Human - Machine interaction through mobile devices (microcontroller) and without the use of typical computer system. With the help of real time gesture recognition technologies and by using camera signal processing (web) the interaction with ...
Apostolos Tsagaris, Dimitrios Trigkas
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This paper presents a methodology for a real time mobile gesture recognition system. It presents a new kind of Human - Machine interaction through mobile devices (microcontroller) and without the use of typical computer system. With the help of real time gesture recognition technologies and by using camera signal processing (web) the interaction with ...
Apostolos Tsagaris, Dimitrios Trigkas
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Face Recognition and Gesture Recognition
2021This chapter continues from the thought from Pablo Picasso. We humans are intrigued by our faces and faces of others, our smiles, our emotions, the different poses we make, and different expressions we have. Our mobile phones and cameras capture all of this.
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2005 IEEE Instrumentationand Measurement Technology Conference Proceedings, 2006
In this paper we introduce our method for enabling dynamic gesture recognition for hand gestures. Like a number of other research work focusing on gesture recognition we use a camera to track the motions and interpret these in terms of actual meaningful gestures; however we emphasise the tracking of fingers as well as the hand in order to cover a much ...
Qing Chen +3 more
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In this paper we introduce our method for enabling dynamic gesture recognition for hand gestures. Like a number of other research work focusing on gesture recognition we use a camera to track the motions and interpret these in terms of actual meaningful gestures; however we emphasise the tracking of fingers as well as the hand in order to cover a much ...
Qing Chen +3 more
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Gesture recognition on smart cameras
SPIE Proceedings, 2013Gesture recognition is a feature in human-machine interaction that allows more natural interaction without the use of complex devices. For this reason, several methods of gesture recognition have been developed in recent years. However, most real time methods are designed to operate on a Personal Computer with high computing resources and memory.
Dziri, A., Chevobbe, S., Darouich, M.
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