A monitoring system a user activity sensor to determine patterns of activity based upon the user activity occurring over time.

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 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.

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.

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 system includes one or more sensors to detect activities of a mobile object; and a processor coupled to the sensor and the wireless transceiver to classify sequences of motions into groups of similar postures each represented by a model and to apply the models to identify an activity of the object.

A requirement exists for machine-to-machine communications between the multiple Smart Devices and Networks (SDNs) a user has without in today's environment of ubiquitous electronically enabled devices, sub-systems, systems, and networks. For example, a user's SDNs may include a multitude of network-controllable devices and networked interfaced devices within an environment of wired and wireless networks and a security system. The combined data/knowledge of these multiple SDNs can be employed to trigger actions for one or more SDNs based upon the combined states of all the SDNs. However, rather than requiring users purchase and install new systems and devices remote cloud based analytics, rule engines, etc. are employed to provide many users with smart home or office automation.

A fault detection device comprises: a measurement data acquirer that acquires measurement data for current flowing on power supply lines that are connected to multiple electrical devices; a clusterer that classifies the measurement data for a past fixed period into multiple clusters based on at least one of frequency and phase with respect to an AC cycle; a pattern analyzer that analyzes each of the clusters for an appearance pattern of measurement data that satisfy a preset standard; and a fault determiner that determines the occurrence of a fault when measurement data is acquired that differs from the analyzed appearance pattern.

The living activity inference device according to the present invention includes: an obtainer configured to obtain an energy consumption of an electric appliance; an appliance operation detector configured to identify an operational state of the electric appliance based on the energy consumption obtained by the obtainer; and an activity inferrer configured to perform an inference process of determining which one of a plurality of living activities predetermined a current living activity corresponds to, based on existing information including the operational state of the electric appliance identified by the appliance operation detector and a past living activity.

There is provided a content reproduction apparatus including a content reproduction unit for reproducing content, a habit detection unit for detecting a reproduction habit regarding content that uses the content reproduction unit, and an abnormality determination unit for determining there is an abnormality, in a case a reproduction action estimated from the reproduction habit detected by the habit detection unit is not carried out.