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Computer recognition of American Sign Language (ASL) is a computationally intensive task. This research investigates transcription of static ASL signs on a consumer-level mobile device. The application provides real-time sign to text translation by processing a live video stream to detect the ASL alphabet as well as custom signs to perform tasks on the device. The chosen classification algorithm uses...
This paper presents a low vision assistance system for individuals with blind spots in their visual field. The system identifies prominent faces in the field of view and redisplays them in regions that are visible to the user. As part of the system performance evaluation, we compare various algorithms for face detection and tracking on an Android smartphone, a netbook and a high-performance workstation...
A novel GPU-based simulation of spiking neural networks is implemented as a hybrid system using Parker-Sochacki numerical integration method with adaptive order. Full single-precision floating-point accuracy for all model variables is achieved. The implementation is validated with exact matching of all neuron potential traces from GPU-based simulation versus those of a reference CPU-based simulation...
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