A method is provided for controlling an operational state of a sensor device for break-in detection. The method is performed in the sensor device and comprises the steps of: determining, while in a low-power state, that a wake-up condition is true when a vibration measurement associated with a barrier is greater than a wake-up threshold; transitioning, when the wake-up condition is true, to an active state; determining, while in the active state, when an activity condition is true, the activity condition being based on vibration measurements associated with the barrier; increasing the wake-up threshold, and transitioning to the low-power state when the activity condition is not determined to be true within a first duration while in the active state; and decreasing the wake-up threshold, when the sensor device stays in the low-power state longer than a second duration.

A method is provided for controlling an operational state of a sensor device for break-in detection. The method is performed in the sensor device and comprises the steps of: determining, while in a low-power state, that a wake-up condition is true when a vibration measurement associated with a barrier is greater than a wake-up threshold; transitioning, when the wake-up condition is true, to an active state; determining, while in the active state, when an activity condition is true, the activity condition being based on vibration measurements associated with the barrier; increasing the wake-up threshold, and transitioning to the low-power state when the activity condition is not determined to be true within a first duration while in the active state; and decreasing the wake-up threshold, when the sensor device stays in the low-power state longer than a second duration.

An adaptive alarm system is responsive to a physiological parameter so as to generate an alarm threshold that adapts to baseline drift in the parameter and reduce false alarms without a corresponding increase in missed true alarms. The adaptive alarm system has a parameter derived from a physiological measurement system using a sensor in communication with a living being. A baseline processor calculates a parameter baseline from a parameter trend. Parameter limits specify an allowable range of the parameter. An adaptive threshold processor calculates an adaptive threshold from the parameter baseline and the parameter limits. An alarm generator is responsive to the parameter and the adaptive threshold so as to trigger an alarm indicative of the parameter crossing the adaptive threshold. The adaptive threshold is responsive to the parameter baseline so as to increase in value as the parameter baseline drifts to a higher parameter value and to decrease in value as the parameter baseline drifts to a lower parameter value.

An adaptive alarm system is responsive to a physiological parameter so as to generate an alarm threshold that adapts to baseline drift in the parameter and reduce false alarms without a corresponding increase in missed true alarms. The adaptive alarm system has a parameter derived from a physiological measurement system using a sensor in communication with a living being. A baseline processor calculates a parameter baseline from a parameter trend. Parameter limits specify an allowable range of the parameter. An adaptive threshold processor calculates an adaptive threshold from the parameter baseline and the parameter limits. An alarm generator is responsive to the parameter and the adaptive threshold so as to trigger an alarm indicative of the parameter crossing the adaptive threshold. The adaptive threshold is responsive to the parameter baseline so as to increase in value as the parameter baseline drifts to a higher parameter value and to decrease in value as the parameter baseline drifts to a lower parameter value.

A method for monitoring devices based at least in part on detected conditions includes accumulating, by one or more sensory nodes, sensed information in an area that includes a controllable device. The method also includes analyzing the sensed information to identify historical information regarding the area that includes the controllable device. The method also includes sensing a condition within the area by the one or more sensory nodes. The method also includes determining, based at least in part on the sensed condition and at least in part on the historical information, that the sensed condition relates to the controllable device. The method further includes generating, responsive to said determining, an alert regarding the controllable device.

A method for monitoring devices based at least in part on detected conditions includes accumulating, by one or more sensory nodes, sensed information in an area that includes a controllable device. The method also includes analyzing the sensed information to identify historical information regarding the area that includes the controllable device. The method also includes sensing a condition within the area by the one or more sensory nodes. The method also includes determining, based at least in part on the sensed condition and at least in part on the historical information, that the sensed condition relates to the controllable device. The method further includes generating, responsive to said determining, an alert regarding the controllable device.

Disclosed is a system which assists rescuers in efforts to locate persons in the event of potentially harmful condition in a structure. An example system includes a sensory node which gathers sensor data including occupancy data. The system uses the sensory node to gather and process condition data to establish normal behavioral characteristics of the data. Threshold levels are determined from this processing. An alert is transmitted when conditions are detected that fall outside those threshold levels. The alert includes information regarding the detected conditions, occupancy information, and structure data. An example system includes a portable device that receives the alert along with the information provided with the alert and uses that information to alert a user and provide a display that provides alert and occupancy data such that occupants of the structure can be located and provided with assistance if required.

Disclosed is a system which assists rescuers in efforts to locate persons in the event of potentially harmful condition in a structure. An example system includes a sensory node which gathers sensor data including occupancy data. The system uses the sensory node to gather and process condition data to establish normal behavioral characteristics of the data. Threshold levels are determined from this processing. An alert is transmitted when conditions are detected that fall outside those threshold levels. The alert includes information regarding the detected conditions, occupancy information, and structure data. An example system includes a portable device that receives the alert along with the information provided with the alert and uses that information to alert a user and provide a display that provides alert and occupancy data such that occupants of the structure can be located and provided with assistance if required.

Hazard-resultant effects to land and buildings are predicted based on various inputs. Hazards may include any appropriate type of hazard (e.g., flood, wildfire, climate-related hazards, or the like). Inputs may include the likelihood that that a specific type of hazard may occur for various scenarios, terrestrial boundaries, property boundaries, census geographies, or the like. Relationships between the inputs are determined and used to quantify parameters pertaining to a specific type of hazard. For example, the depth of flood water may be predicted for a particular terrestrial boundary, a city or town, or a building, for specific climate scenarios. A risk likelihood of the quantified parameter may be determined for a particular period of time and environment. For example, flooding to a building may be determined, broken down by depth threshold and year of annual risk for specific climate scenarios. Economic loss also may be predicted.

Hazard-resultant effects to land and buildings are predicted based on various inputs. Hazards may include any appropriate type of hazard (e.g., flood, wildfire, climate-related hazards, or the like). Inputs may include the likelihood that that a specific type of hazard may occur for various scenarios, terrestrial boundaries, property boundaries, census geographies, or the like. Relationships between the inputs are determined and used to quantify parameters pertaining to a specific type of hazard. For example, the depth of flood water may be predicted for a particular terrestrial boundary, a city or town, or a building, for specific climate scenarios. A risk likelihood of the quantified parameter may be determined for a particular period of time and environment. For example, flooding to a building may be determined, broken down by depth threshold and year of annual risk for specific climate scenarios. Economic loss also may be predicted.