Echocare Technologies Ltd

Dspc Israel, Ltd.

Rafael Zack

Omer Hadad

Michael Harash

Shimon Dahan

Ovadia Chaluba

A non-wearable Personal Emergency Response System (PERS) architecture is provided, implementing RF interferometry using synthetic aperture antenna arrays to derive ultra-wideband echo signals which are analyzed and then processed by a two-stage human state classifier and abnormal states pattern recognition. Systems and methods transmit ultra-wide band radio frequency signals at, and receive echo signals from, the environment, process the received echo signals to yield a range-bin-based slow signal that is spatially characterized over a plurality of spatial range bins, and estimate respiration parameter(s) of the human(s) by analyzing the slow signal. The antennas may be arranged in several linear baselines, implement virtual displacements, and may be set into multiple communicating sub-arrays. A classifier uses respiration and other derived features to classify the state of the human(s). A decision process is carried out based on the instantaneous human state (local decision) followed by abnormal states patterns recognition (global decision).

Human respiration feature extraction in personal emergency response systems and methods

A non-wearable Personal Emergency Response System (PERS) architecture is provided, having a synthetic aperture antenna based RF interferometer followed by two-stage human state classifier and abnormal states pattern recognition. Systems and methods transmit ultra-wide band radio frequency signals at, and receive echo signals from, the environment, process the received echo signals to yield a range-bin-based slow signal that is spatio-temporally characterized over multiple spatial range bins and multiple temporal sub-frames, respectively, and derive from the slow signal a Doppler signature and a range-time energy signature as motion characteristics of human(s) in the environment and optionally also derive location data as movement characteristics thereof. The decision process is carried out based on the instantaneous human state (local decision) followed by abnormal states patterns recognition (global decision).

Human motion feature extraction in personal emergency response systems and methods

A non-wearable Personal Emergency Response System (PERS) architecture is provided, implementing RF interferometry using synthetic aperture antenna arrays to derive ultra-wideband echo signals which are analyzed and then processed by a two-stage human state classifier and abnormal states pattern recognition. Systems and methods transmit ultra-wide band radio frequency signals at, and receive echo signals from, the environment, process the received echo signals to derive a spatial distribution of echo sources in the environment using spatial parameters of the at least one transmitting and/or receiving antennas, and estimate postures human(s) in the environment by analyzing the spatial distribution with respect to echo intensity. The antennas may be arranged in several linear baselines, implement virtual displacements, and may be set into multiple communicating sub-arrays. The decision process is carried out based on the instantaneous human state (local decision) followed by abnormal states patterns recognition (global decision).

Human posture feature extraction in personal emergency response systems and methods

A non-wearable Personal Emergency Response System (PERS) architecture is provided, implementing RF interferometry using synthetic aperture antenna arrays to derive ultra-wideband echo signals which are analyzed and then processed by a two-stage human state classifier and abnormal states pattern recognition. Systems and methods transmit ultra-wide band radio frequency signals at, and receive echo signals from, the environment, process the received echo signals to yield a range-bin-based slow signal that is spatio-temporally characterized over multiple spatial range bins and multiple temporal sub-frames, respectively, and derive from the slow signal multiple characteristics of human(s) in the environment. The reception antennas may be arranged in several linear baselines, implement virtual displacements, and may be set into multiple communicating sub-arrays. The decision process is carried out based on the instantaneous human state (local decision) followed by abnormal states patterns recognition (global decision).

Ultra-wide band antenna arrays and related methods in personal emergency response systems

Methods are presented for reducing the processing required for CELP speech encoders which have multiple fixed stochastic codebook subframes corresponding to a single adaptive codebook subframe. The search for the optimum excitation vector in the fixed stochastic codebook requires calculating terms involving correlation of the target speech sample and the fixed stochastic codebook excitation vector as well as energy terms involving only the fixed stochastic codebook excitation vector, and for this class of CELP encoders it is possible to simplify the calculations to reduce their complexity and to make advantageous use of an adaptive energy lookup table. In addition, linear interpolation may be employed to estimate values for the adaptive energy lookup table and further reduce the computational burden.

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Kiryat Ono, Israel

Rafael Zack