Abstract: A system for distinguishing between a first condition corresponding to a living subject being directly in contact with an object of interest, and a second condition corresponding to the absence of contact between the living subject and the object of interest. A transducer, which may be a MEMs sensor, is disposed in predetermined relationship to the object of interest and produces a transducer signal responsive to a pressure wave resulting from the living subject being directly in contact the object of interest. A database stores data corresponding to the first condition and may contain additional data corresponding to the second condition. A processor calculates an algorithm of a non-linear short-term frequency-selective energy distribution of the transducer signal over time to produce transducer signal data.

Abstract: A system for distinguishing between a first condition corresponding to a living subject being directly in contact with an object of interest, and a second condition corresponding to the absence of contact between the living subject and the object of interest. A transducer is disposed in predetermined relationship to the object of interest and produces a transducer signal responsive to a pressure wave resulting from the living subject being directly in contact the object of interest. A database stores data corresponding to the first condition and may contain additional data corresponding to the second condition. A processor calculates an algorithm of a non-linear short-term frequency-selective energy distribution of the transducer signal over time to produce transducer signal data. An arrangement, which may be a human listener or a processor system, determines a threshold between the first and second conditions in response to the transducer signal data and the first and second data.

Abstract: A human being presence detection system automatically determines the presence of human beings without directly attaching sensors to the human body and detects human drowsiness. The detection system characterizes the occupancy of a vehicle seat to determine the characteristics of deployment of vehicle airbags and restraints in the event of a crash/accident. In other applications, the presence of persons hiding in a predetermined space is detected, including caves, underground bunkers, tunnels, etc. The rescue of military personnel or of persons trapped under rubble, behind barriers, within building, etc., is facilitated. In one embodiment, human beings are detected using data obtained from pressure transducers in the space of interest. The pressure signals are processed by a novel signal processing algorithm to determine the presence or absence of a human being, using information from different types of pressure transducers.