A signal processing system includes an expiratory information acquisition unit and a nerve recognition uni. The expiratory information acquisition unit acquires expiratory information as a piece of biometric information about a person's expiratory volume. The nerve recognition unit recognizes, based on a dispersion in the expiratory information, a condition of the person's autonomic nervous system.

A state detection method includes: storing first information obtained from a first sensor and second information obtained from a second sensor in a predetermined segment in a storage, by a processor; specifying a behavior segment indicating a segment in which a subject performs a specific behavior and a non-behavior segment indicating a segment in which the subject does not perform the specific behavior using the second information stored in the storage, by the processor; determining a feature amount to be used for detecting a specific state of the subject using respective values of a plurality of feature amounts included in the first information stored in the storage in each of the behavior segment and the non-behavior segment and determining a threshold value for the determined feature amount, by the processor; and detecting the specific state of the subject from the information obtained from the first sensor, by the processor.

A method for detecting urination includes (a) obtaining sensor data S, which is continuous data according to the passage of time and generated by the movement of a measuring device; and (b) filtering the sensor data S as valid data related to urination among the sensor data S obtained in (a) by using a valid data filtering module of the measuring device according to a preset method. The filtering includes filtering the sensor data S obtained when a distance between a sensor installed in a space provided with a urinal or a toilet seat and the measuring device is within a preset distance, as the valid data.

A monitoring system comprises a floor covering with a sheet-type pressure sensor and a sensor control unit. The latter includes an ADC for providing a digital raw signal, a microcontroller configured to carry out data extraction by signal processing of the digital raw signal and generating a digital processed signal having a lower digital bandwidth than the digital raw signal, and a communications module connected to or integrated within the microcontroller so as to receive the digital processed signal. The communications module is configured to establish data communication with one or more database servers and to transmit the extracted data to the one or more database servers.

One embodiment of a monitoring system includes a sensing subsystem adapted to sense an external parameter within a region of interest relative to an occupant support or an occupant of the occupant support. The monitoring system also includes a processor. The processor is adapted to adapted to receive data representing the sensed external parameter and to execute machine readable instructions thereby causing the monitoring system to evaluate, based on the received data, a likelihood that the occupant will attempt an egress from the occupant support. The processor is also adapted to generate a notification of the likelihood of attempted egress.

Methods and apparatus to charge biomedical devices are described. In some examples, a biometric-based information communication system comprises biomedical devices with sensing means, wherein the sensing means produces a biometric result and wherein the biomedical device is charged with a wireless charging system. In some examples, the charging system may beam energy to the biomedical device. In some examples, the charging system beams energy to the area surrounding the biomedical device.

The camera device includes a camera member, a stand and an AI member. The camera member includes a camera and a body-temperature sensing member. The stand supports the camera member, and engages the camera. The AI member is electrically connected to the camera and the body-temperature sensing member, and controls the stand to move the camera according to an image captured by the camera and a temperature value detected by the body-temperature sensing member. The camera device may provide monitoring to a crowd of people within a specific region. The AI member determines the number of people based on the captured image and the detected temperature. When there is a large group of people, the camera is moved backward to cover more people. When there is a small group of people, the camera is moved forward to capture clearer images, thereby achieving effective monitoring.

A fall detection system includes first sensing devices, second sensing devices, positioning modules, a data server and a display device. The first sensing device is configured to detect a posture of a body part of a user for obtaining body part posture data. The positioning modules are configured to detect positions of the first and second sensing devices, so as to obtain corresponding body part position data. Each of the second sensing devices is disposed on a shoe to detect a posture of a user's feet and to measure a distance from an ambient object for obtaining feet posture data and distance measurement data. The data server is configured to receive the body part posture data, the body part position data, the feet posture data and the distance measurement data to determine if the user falls down.

The present disclosure relates to a monitoring system configured to monitor the activities of individuals without having to keep the surrounding area under the surveillance of a camera thereby maintaining the privacy of the individual. In particular, the monitoring system includes a network of sensitive sensor units that are installed onto indoor flooring to record human footstep induced vibrations. The data collected from the sensors can then be processed to identify individual occupants, determine the number of occupants, estimate the location of footsteps, and track the trajectory of each occupant. The extracted trajectory information can be used to assess an occupant's personal activity and social interaction, which can then be used to analyze the individual's physical and psychological health.

Disclosed are various embodiments of golf training device that helps a golfer learn and coordinate lower body positions and movements with upper body movements, using a series of feedback signals. In one embodiment, among others, a system comprises a foot sensor that attaches to a Lead Foot of a user. The foot sensor is configured to detect a heel of the Lead Foot being raised. The system also comprises a leg sensor that attaches to a Trail Leg of the user, and the leg sensor detects a bend in the Trail Leg of the user. The foot sensor is configured to detect the heel being lowered at an instance after the detection of the bend in the Trail Leg. The system further comprises a feedback device configured to activate one or more feedback indicators after the detections of foot and/or leg movements.