A wireless device, network node and network management node are disclosed. The wireless device, network node and management node may cooperate to facilitate monitoring of the wireless device and detection of an incident involving a user of the wireless device. The wireless device is operable to connect to a network and comprises processing circuitry configured to cause the wireless device to enter an enhanced monitoring mode, receive, from a network node, configuration information specifying a measuring configuration for measuring signal strength, and measure signal strength in accordance with the received configuration information.

Provided is a safety checking system that can accurately determine an abnormality of a user or a rearing animal using a lockable space section and can respond to an abnormality, if occurs, more safely, more reliably, and promptly. This invention includes: obtaining, via a management device, sensing data from a sensor detecting biological information of the user or rearing animal using the lockable space section; detecting, via the management device, a significant difference between the sensing data and sensing data obtained in a normal condition or a threshold thereof; requesting, upon detection of the significant difference as necessary, dispatch of an emergency agency to the lockable space section; confirming, via the management device, whether the emergency agency having received the request has arrived at the lockable space section; and causing the management device to issue a signal for carrying out emergency unlocking of a lock in the lockable space section.

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.

A safety management method for well site worker, a safety management system for well site worker and a storage medium are disclosed. The safety management method for well site worker includes acquiring position information of the well site worker; acquiring layout information of a well site, the layout information including position information of a safe region, a dangerous region, and a buffer region between the safe region and the dangerous region in the well site; and in response to the well site worker being located in the buffer region or the dangerous region, sending an alarm signal to warn the well site worker to stay away from the dangerous region.

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.

A user, such as an elderly person, may be assisted by an assistance device in his or her caregiving environment that operates in conjunction with one or more server computers. The assistance device may execute a schedule of assistance actions where each assistance action is associated with a time and is executed at that time to assist the user. An assistance action may present an input request to a user, process a voice input of the user, and analyze the voice input to determine that the voice input corresponds to a negative response event, a positive response event, or a non-response event. Based on the categorization of one or more voice inputs as negative response events, positive response events, or non-response events, it may be determined to notify a caregiver of the user, for example where the user has not responded to a number of assistance actions.

The in-home care of seniors is augmented using Internet of Things (IOT) technologies. In-home sensors monitor a senior and their caregiver. Physical conditions and psychological conditions may be monitored. In some implementations, a machine learning system has a classifier trained to detect a specified condition, such as depression. The system may perform various transformations of raw sensor data into a format indicative of a particular condition. In one implementation, a psychological or medical condition has symptoms in which each symptom has one or more measurable events. Mappings between symptoms, events, sensor data, and sensor transformation functions may be supported.

A machine learning system passively monitors sensor data from the living space of a patient. The sensor data may include audio data. Audio features are generated. A trained machine learning model is used to detect a change in condition. In some implementations, the machine learning model is trained in a learning phase based on training data that includes questionnaires completed by caregivers and identified audio features.

A healthcare system with combining TV viewing data and bio data includes a smart meter that collects and transmits first audio data of a first broadcast content, and collects and transmits ambient sounds; a smart device that collects and transmits second audio data of a second broadcast content, and collects and transmits usage data of an installed application; a wearable device that collects and transmits the user's bio data; a database storing broadcast reference data comparable to at least one of the first audio data and the second audio data; a broadcast content determining unit that compares one or more of the first audio data and the second audio data with the broadcast reference data to specify a third broadcast content; and an abnormality detection unit that determines that an abnormality has occurred in the user's personal safety.

Aspects of the subject disclosure may include, for example, monitoring a communication session in which a user participates, the user being at a location; obtaining sensor information indicative of a physical environment in a vicinity of the location; determining, based at least in part upon the sensor information, whether a person other than the user is in the physical environment, resulting in a determination; and responsive to the determination being that the person is in the physical environment: categorizing, based at least in part upon the sensor information, the person into one class of a plurality of classes of people; generating an alert, the alert indicating to which class the person has been categorized; and providing the alert via the communication session to a communication device being used by the user. Other embodiments are disclosed.