A method for detecting abnormal usage of a physical consumable in a physical consumable usage environment (107), wherein the method comprises the steps of: monitoring detected usage data associated with the provision of at least one physical consumable in a physical consumable usage environment (107) using at least one physical consumable provisioning device (101, 103, 105) that is arranged to provide the physical consumable; and detecting abnormal usage of the physical consumable based on the monitoring of the detected usage data.

In a watching server including a communication unit and a control unit, the control unit acquires log information indicating a use status of a home appliance by a watching target person and schedule information indicating a schedule of the watching target person, via the communication unit, and determines notification information to be notified to a watching man who watches the watching target person with reference to the log information and the schedule information.

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

A monitoring system using an 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 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.

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 method of detecting an emergency situation in a room of a hotel is provided. The method comprising: monitoring an access control operably connect to a door of a room; determining that the access control has not been engaged; determining that activity has not been detected in the room for a selected time period; and activating an alarm.