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The use of vital signs as a biometric is a potentially viable approach in a variety of application scenarios such as security and personalized health care. In this paper, a novel robust Electrocardiogram (ECG) biometric algorithm based on both temporal and cepstral information is proposed. First, in the time domain, after pre-processing and normalization, each heartbeat of the ECG signal is modeled...
The problem of mutual information (MI) estimation based on data-dependent partition is addressed in this work. Sufficient conditions are stipulated on a histogram-based construction to guarantee a strong consistent estimate for the MI. The practical implications of this result are in the specification of a range of design parameters for two data-driven histogram-based approaches - statistically equivalent...
This paper describes a preliminary investigation into automatic assessment of reading comprehension in young children. In particular we studied the feasibility of automatic scoring of answers to open-ended questions related to the contents of a passage read by a child. Data from 70 children in grades 1 and 2 were used in this work. An automatic speech recognition system, especially trained for children's...
In this paper, we present the sensor network-on-a-chip (SNOC) paradigm for designing robust and energy-efficient systems-on-a-chip (SOC). In this paradigm, computation in the presence of nanometer non-idealities such as process variations, leakage and noise is viewed as an estimation problem. Robust statistical signal processing theory is then employed to recover the performance of the system in the...
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