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Hand gesture recognition is one of the secure natural user interface (NUI) mechanisms on wearable devices since it does not reveal user's intention in public domain unlike the speech recognition. However, its energy dissipation is very demanding as it requires compute-intensive machine vision processing. Recently, wake-up detectors have been proposed to improve the energy-efficiency of always-on sensing...
A low-power and real-time hidden Markov model (HMM) accelerator is proposed for gesture user interfaces on wearable smart devices. HMM algorithm is widely used for sequence recognitions such as speech recognition and gesture recognition due to its best-in-class recognition accuracy. However, the HMM algorithm incorporates high computational complexity and requires massive memory bandwidth for sequence...
A hybrid radix-4/-8 truncated multiplier is proposed for mobile graphics processing unit (GPU) applications by combining the strong points of high-speed radix-4 and low-power radix-8 encoding schemes. A hybrid Booth encoder (HBE) for radix-4/-8 encoding is proposed by sharing the common logics between the two encodings. In addition, a hybrid radix-4/-8 truncation (HRT) scheme is proposed for more...
An energy-efficient 64 bit static sparse-tree adder using a multiplexer (MUX)-less bypassing scheme is proposed for mobile central processing units. Conventionally, bypassing schemes have been used to eliminate unnecessary switching of circuits but have incorporated a large delay overhead due to their output MUX, which reduces the energy efficiency of circuits in terms of power-delay product (PDP)...
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