A monitoring system includes a sensor data acquisition device configured to acquire information on an activity of a user; a data analyzer configured to analyze the acquired information on the activity of the user and detect occurrence of an abnormality in the activity of the user; an imaging controller configured to instruct an imaging terminal device that captures an image of the activity of the user to start capturing an image of the user and record imaging data in a case where the occurrence of the abnormality is detected by the data analyzer; an imaging data acquisition device configured to acquire the imaging data recorded by the imaging terminal device; a data storage device configured to store the imaging data acquired by the imaging data acquisition device; and an output device configured to output the imaging data.

In an illustrative embodiment, systems and methods for verifying safety compliance of a worker positioned on a building structure utilize a motion detector module (MDM) for attaching to a wearable safety harness, where the harness has a lifeline attachment feature for connecting the safety harness to a lifeline anchored to the building structure. The MDM may include a motion sensor for detecting movement of the worker and processing circuitry for detecting, from signals provided by the motion sensor, significant movement indicative of the safety harness being properly worn by the worker and/or proper attachment of the safety harness to a lifeline, and translating the significant movements into compliance information. The MDM may include a proximate sensor for detecting contact between the attachment feature on the harness and a fastener on the lifeline for verifying the compliance information.

In an example method, a mobile device obtains sample data generated by one or more sensors over a period of time, where the one or more sensors are worn by a user. The mobile device determines that the user has fallen based on the sample data, and determines, based on the sample data, a severity of an injury suffered by the user. The mobile device generates one or more notifications based on the determination that the user has fallen and the determined severity of the injury.

Systems and methods for identifying a condition associated with an individual in a home environment are provided. Sensors associated with the home environment detect data, which is captured and analyzed by a local or remote processor to identify the condition. In some instances, the sensors are configured to capture data indicative of electricity use by devices associated with the home environment, including, e.g., which devices are using electricity, what date/time electricity is used by each device, how long each device uses electricity, and/or the power source for the electricity used by each device. The processor analyzes the captured data to identify any abnormalities or anomalies, and, based upon any identified abnormalities or anomalies, the processor determines a condition (e.g., a medical condition) associated with an individual in the home environment. The processor generates and transmits a notification indicating the condition associated with the individual to a caregiver of the individual.

In a method of manufacturing a biomimetic highly stretchable conductive dry adhesive patch, a mold including a plurality of holes is provided by etching a semiconductor substrate including an insulation layer based on a footing effect. A conductive polymer composite is provided by dispersing mixed conductive fillers in a liquid elastomer. The mixed conductive fillers are formed by mixing one-dimensional conductive fillers and two-dimensional conductive fillers. The conductive polymer composite is applied on the mold such that the conductive polymer composite is injected into the plurality of holes. A conductive dry adhesive structure including a plurality of micropillars corresponding to the plurality of holes is obtained by performing a post-treatment on the conductive polymer composite applied on the mold and by removing the mold. Each of the plurality of micropillars includes a body portion and a tip portion. The tip portion has a spatula shape, is formed on the body portion, and has an area larger than that of the body portion in a plan view.

A system is disclosed for managing services at a customer location. The system may have at least one offboard utility meter, a communication device, and a controller in communication with the at least one offboard utility meter via the communication device. The controller may be configured to receive information from the at least one offboard utility meter during a waste service activity at the customer location by a waste service vehicle and to determine based on the information from the at least one offboard utility meter a fee associated with at least one utility service provided at the customer location. The controller may also be configured to generate at least one invoice for the waste service activity and for the fee associated with the at least one utility service.

A computer-implemented method for detecting medical emergency events may include, via one or more processors, data sensors, and/or transceivers: (1) obtaining sensor data indicative of kinetic actions of a user; (2) analyzing the sensor data to associate the sensor data with a one or more kinetic actions of the user; (3) comparing the one or more kinetic actions of the user with a model of kinetic actions to determine whether the one or more kinetic actions correspond with the model of kinetic actions, with the model being indicative of a medical emergency event; and (4) upon determining that the one or more kinetic actions correspond with the model, contacting medical emergency responders to request medical emergency services for the user. As such, medical emergency events being experienced by a user can be detected, and medical emergency responders may be quickly contacted to provide essential emergency medical services to the individual.

A method and system for training a fall detection classifier using subject-specific movement data. A subject sets a preferred non-fall detection rate. Movement data responsive to a subject's movements during everyday activities are obtained over a predetermined data collection period. For each detected event in the movement data, values for one or more parameters that may (together or individually) indicate a fall are obtained. The obtained values are used to generate a subject-specific non-fall detection rate function. This non-fall detection rate function is used to derive a threshold value, in reference to the subject-set preferred non-fall detection rate, to distinguish fall events from non-fall events.

A sensor interface is configured to receive a sensor signal. A transmitter generates a transmit signal. A receiver receives the signal corresponding to the transmit signal. Further, a monitor interface is configured to communicate a waveform to the monitor so that measurements derived by the monitor from the waveform are generally equivalent to measurements derivable from the sensor signal.

Methods and devices provide physiological movement detection, such as gesture, breathing, cardiac and/or gross body motion, with active sound generation such as for an interactive audio device. The processor may evaluate, via a microphone coupled to the interactive audio device, a sensed audible verbal communication. The processor may control producing, via a speaker coupled to the processor, a sound signal in a user's vicinity. The processor may control sensing, via a microphone coupled to the processor, a reflected sound signal. This reflected sound signal is a reflection of the generated sound signal from the vicinity or user. The processor may process the reflected sound, such as by a demodulation technique, to derive a physiological movement signal. The processor may generate, in response to the sensed audible verbal communication, an output based on an evaluation of the derived physiological movement signal.