The present application relates generally to a monitoring system to assist with aging-in-place for elderly individuals and patients with chronic diseases either living at home, senior living or assisted living facilities. In one aspect, integrating the use machine learning and signals from an interoperable system of electricity usage, water usage, ballistocardiography (BGC), and ultra-wideband radar, WiFi based computer visioning, infrared. The system and methods may be used to identify and track common daily human activities, instrumental daily living activities, the patient or elderly personal physical status in the home or at senior and assisted living facilities. Anomalies to patterns can be determined by identifying disruptions in previously established patterns.

The present application relates generally to in-home monitoring and an early health crisis alarm system for elderly individuals and patients with chronic diseases. In one aspect, using artificial intelligence and signals from electricity usage, water usage, ballistocardiography (BGC), and ultra-wideband radar, the system and methods may be used to identify and track daily human activities and physical status in the home. Anomalies to patterns can be determined by identifying disruptions in previously established patterns.

A home automation (HA) system may include HA operation devices within a user living area and an HA hub device to provide communications for the HA operation devices. The HA system may also include at least one controller configured to store historical operational data for each of the HA operation devices based upon a user within the user living area, and use machine learning to determine a predicted operational pattern of at least one of the HA operation devices based upon the stored historical operational data. The at least one controller may also be configured to monitor operation of the HA operation devices and determine therefrom an HA operation device deviation from the predicted operational pattern, and generate a notification based upon the determined HA operation device deviation.

A system and method are provided for monitoring a property. The method includes analyzing data obtained from one or more sensor units deployed for monitoring the property to generate a signature of the property, the signature being indicative of normal activities associated with the property and/or one or more occupants of the property. The method also includes obtaining current data acquired by the one or more sensors; analyzing the current data against the signature for the property to determine whether or not the current data is associated with normal activity, abnormal activity, a lack of activity, or an actionable event for the property. The method also includes having an alert or notification sent in response to analyzing the current data when abnormal activity, lack of activity, or an actionable event is detected.

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 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.

Presented is a system and method for monitoring activities of daily living, ADLs, of a person within an environment containing an object that is controllable by the person via a control system. The system comprises a data collection unit adapted to obtain control data from the control system, the control data being based on one or more control signals generated by the control system for controlling the object. A data analysis unit is 5 adapted to determine an ADL event of the person based on the obtained control data.

A home automation (HA) system may include HA operation devices within a user living area and an HA hub device to provide communications for the HA operation devices. The HA system may also include at least one controller configured to store historical operational data for each of the HA operation devices based upon a user within the user living area, and use machine learning to determine a predicted operational pattern of at least one of the HA operation devices based upon the stored historical operational data. The at least one controller may also be configured to monitor operation of the HA operation devices and determine therefrom an HA operation device deviation from the predicted operational pattern, and generate a notification based upon the determined HA operation device deviation.

A monitoring system that is configured to monitor a property is disclosed. The monitoring system includes a sensor that is configured to generate sensor data that reflects an attribute of the property. The monitoring system further includes a stair lift that is configured to transport a person up and down stairs at the property and that is configured to generate stair lift data that reflects a status of the stair lift. The monitoring system further includes a monitor control unit that is configured to receive the sensor data and the stair lift data. The monitor control unit is further configured to analyze the sensor data and the stair lift data. The monitor control unit is further configured to determine that an event occurred at the property. The monitor control unit is further configured to, based on determining that the event occurred at the property, perform a monitoring system action.