Abstract: A device comprises a processor coupled with an ultrasonic transducer coupled which is configured to emit an ultrasonic pulse and receive returned signals received after a ringdown period of the transducer and corresponding to the emitted ultrasonic pulse. The processor is configured to evaluate the returned signals to find a candidate echo, from an object located in a ringdown blind spot area, in a time window between one and two times the ringdown period; locate multiple echoes from the object of higher order than the candidate echo; validate the candidate echo as at least a secondary echo associated of the object; and determine, based on analysis of the returned signals, an estimated distance from the transducer to the object in the ringdown blind spot area, wherein the ringdown blind spot area is located between the transducer and a closest distance at which objects can be sensed by the transducer.

Abstract: A device comprises a processor coupled with an ultrasonic transducer coupled which is configured to emit an ultrasonic pulse and receive returned signals received after a ringdown period of the transducer and corresponding to the emitted ultrasonic pulse. The processor is configured to evaluate the returned signals to find a candidate echo, from an object located in a ringdown blind spot area, in a time window between one and two times the ringdown period; locate multiple echoes from the object of higher order than the candidate echo; validate the candidate echo as at least a secondary echo associated of the object; and determine, based on analysis of the returned signals, an estimated distance from the transducer to the object in the ringdown blind spot area, wherein the ringdown blind spot area is located between the transducer and a closest distance at which objects can be sensed by the transducer.

Abstract: A device comprises a processor coupled with an ultrasonic transducer coupled which is configured to emit an ultrasonic pulse and receive returned signals received after a ringdown period of the transducer and corresponding to the emitted ultrasonic pulse. The processor is configured to evaluate the returned signals to find a candidate echo, from an object located in a ringdown blind spot area, in a time window between one and two times the ringdown period; locate multiple echoes from the object of higher order than the candidate echo; validate the candidate echo as at least a secondary echo associated of the object; and determine, based on analysis of the returned signals, an estimated distance from the transducer to the object in the ringdown blind spot area, wherein the ringdown blind spot area is located between the transducer and a closest distance at which objects can be sensed by the transducer.

Abstract: A device identifying a cyclic movement type of a physical system from a set of possible cyclic movements types includes: a movement sensor providing an observation data sequence concerning the physical system; a storage storing at least one statistical hidden-state Markov model; and a computer programmed to analyze the observation data sequence and select one cyclic movement type based on the stored statistical model. The storage includes least one statistical hidden-state Markov model for each possible cyclic movement type and the computer is programmed to analyze compatibility of the observation data sequence with each possible cyclic movement type based on the statistical model associated with this cyclic movement type. The computer is further programmed to provide a sequence of hidden states of the statistical model associated with the selected cyclic movement type, based on the observation data sequence and the statistical model associated with the selected cyclic movement type.

Abstract: A method for configuring a device for detecting a situation from a set of situations where a physical system comprises the following steps: reception of a learning sequence corresponding to a given situation of the physical system; determination of parameters of a hidden-state Markov statistical model recorded in the detection device and relating to the given situation, on the basis of a prior initialization of these parameters.

Abstract: A device identifying a cyclic movement type of a physical system from a set of possible cyclic movements types includes: a movement sensor providing an observation data sequence concerning the physical system; a storage storing at least one statistical hidden-state Markov model; and a computer programmed to analyze the observation data sequence and select one cyclic movement type based on the stored statistical model. The storage includes least one statistical hidden-state Markov model for each possible cyclic movement type and the computer is programmed to analyze compatibility of the observation data sequence with each possible cyclic movement type based on the statistical model associated with this cyclic movement type. The computer is further programmed to provide a sequence of hidden states of the statistical model associated with the selected cyclic movement type, based on the observation data sequence and the statistical model associated with the selected cyclic movement type.

Abstract: A method for configuring a device for detecting a situation from a set of situations where a physical system comprises the following steps: reception of a learning sequence corresponding to a given situation of the physical system; determination of parameters of a hidden-state Markov statistical model recorded in the detection device and relating to the given situation, on the basis of a prior initialisation of these parameters.