Abstract: A wireless communications system for determining and conveying swimming metrics to swimmers and triathletes during swimming activity. The swimming metric communication system comprises a smartwatch for determining swim metrics and a head-worn device with an integrated headphone, headphone jack, or wireless headphone transmitter. The smartwatch and head-worn device utilize a Bluetooth Low Energy (BLE) connection to communicate voiced swim metrics to the user. For example, various voiced data segments are preloaded on the head-worn device and associated with unique low-bit codes, respectively. The BLE connection is used to transmit certain low-bit codes to trigger respective voiced data segments. A transmission connection between the smartwatch and headphone, and vice-versa, is established when the user's hand is out of the water (recovery) and/or when the hand passes near the face underwater (pull).

Abstract: The invention relates to a system and method for monitoring the location, movement and health of one or more individuals within an environment by a monitoring individual, such as a care giver. The system used includes optional monitoring devices including a wireless transceiver, access point devices including a wireless transceiver, a hub access point device including a wireless transceiver, and a local computing device. The system is programmed such that it has the capability to operate with or without the measure of time of flight value from the optional monitoring devices such that the system has the capability of monitoring the location, movement and health of an individual whether or not the individual is wearing the monitoring device.

Abstract: The invention relates to a system and method for monitoring the location, movement and health of one or more individuals within an environment by a monitoring individual, such as a care giver. The system used includes optional monitoring devices including a wireless transceiver, access point devices including a wireless transceiver, a hub access point device including a wireless transceiver, and a local computing device. The system is programmed such that it has the capability to operate with or without the measure of time of flight value from the optional monitoring devices such that the system has the capability of monitoring the location, movement and health of an individual whether or not the individual is wearing the monitoring device.

Abstract: Methods and compositions for the non-invasive determination of the concentration of an analyte are provided.

Abstract: Methods and compositions for the non-invasive determination of the concentration of an analyte are provided.

Abstract: A method of estimating the navigational state of a system entails acquiring observation data produced by noisy measurement sensors and providing a probabilistic inference system to combine the observation data with prediction values of the system state space model to estimate the navigational state of the system. The probabilistic inference system is implemented to include a realization of a Gaussian approximate random variable propagation technique performing deterministic sampling without analytic derivative calculations. This technique achieves for the navigational state of the system an estimation accuracy that is greater than that achievable with an extended Kalman filter-based probabilistic inference system.

Abstract: A method of estimating the navigational state of a system entails acquiring observation data produced by noisy measurement sensors and providing a probabilistic inference system to combine the observation data with prediction values of the system state space model to estimate the navigational state of the system. The probabilistic inference system is implemented to include a realization of a Gaussian approximate random variable propagation technique performing deterministic sampling without analytic derivative calculations. This technique achieves for the navigational state of the system an estimation accuracy that is greater than that achievable with an extended Kalman filter-based probabilistic inference system.

Abstract: A method and system for generating an estimate of a clean speech signal extracts time trajections of short-term parameters from a noisy speech signal to obtain a plurality of frequency components each having a magnitude spectrum and a phase spectrum. The magnitude spectrum is then compressed, filtered and then decompressed to obtain a modified magnitude spectrum. The speech signal is then reconstructed using the original phase spectrum and the modified magnitude spectrum.