Techniques are described for moving asset location tracking and monitoring system technology. A system monitors for events related to a monitoring system that monitors a fixed property and the system detects an event related to the monitoring system based on the monitoring. The system performs an operation that leverages geographic location tracking of at least one mobile asset associated with the fixed property based on the detected event.

Security and/or automation systems, collectively referred to as automation systems, may allow a parent to leave their child at home and feel comfortable. The automation system may receive a notification that the parents are leaving. The parents may set a child alone state or a babysitter state. The system may use settings determined by the parents to track child parameters. Restricted areas may include a parents liquor cabinet, a parents bedroom, an office, and the like. The automation system may additionally track the comings and goings of a child to determine if the child is out past a curfew, when the child left, when the child arrived at home, and the like. Additionally, the parent away state may implement a lock down on any firearms or other potential hazards in a home.

An electric or electronic device module comprises an electronic device, means for powering the electric or electronic device module, and at least one radar sensor having a detection range. The electric or electronic device module has a processor adapted for calibrating the at least one radar sensor by at least partly automatically defining and calculating parameters of boundaries of a predefined geometry, in which the at least one radar sensor has to measure, in order to prevent the at least one radar sensor from taking into account measurements outside that predefined geometry. The predefined geometry is located within the detection range of the at least one radar sensor and is equally sized to or smaller than that detection range of the at least one radar sensor.

A method for monitoring a physical area for unauthorized access by a user of a wireless device, includes scanning for signals from a wireless device, detecting a wireless signal from a wireless device, determining a wireless device ID associated with the wireless signal, determining whether the wireless device ID matches a wireless ID in an authorized or unauthorized ID list and in response to determining that the wireless device ID matches a wireless ID in the unauthorized wireless ID list, activate a security alert. The method may further include in response to determining, that the wireless device ID does not match a wireless ID in the authorized wireless ID list nor the unauthorized wireless ID list, receiving, signal strength information associated with the detected wireless signal for a predetermined time interval and determining a pattern as a function of time of the received signal strength.

Systems and methods for detecting and monitoring human breathing, respiration, and heart rate using statistics about the wireless channel between two or more connected devices. A user is monitored for identifying patterns in the user's behavior that may allow the system to alert a caregiver to deviations in the user behavior that may be indicative of a potential issue, such as depression. A presence may further detected in a sensing area through the detection of spectral components in the breathing frequency range of comprises user includes transforming phase difference between spatial streams and amplitude of the samples representing frequency response of the channel for any frequency value into frequency domain to perform frequency analysis. Statistical analysis may be performed on the frequency space provided by the transformation. Micro motions may also be detected by detecting presence in a sensing area through the detection of spectral components in the micro motion frequency range.

In a general aspect, a method is presented for detecting a location of motion using wireless signals in a wireless mesh network that includes leaf nodes. The method includes obtaining motion-sensing data based on wireless signals exchanged on wireless links in a wireless mesh network including a plurality of nodes. The plurality of nodes includes a first access point (AP) node, one or more other AP nodes, and leaf nodes. The method also includes identifying, based on the motion-sensing data, the first AP node as an estimated location of motion of an object. The method additionally includes generating a likelihood data structure comprising likelihood values assigned to respective nodes of the plurality of nodes in response to the first AP node being identified as the estimated location of motion. A location of the motion of the object is determined based on the likelihood data structure.

In a general aspect, a method is presented for detecting a location of motion using wireless signals and differences between topologies of wireless connectivity. The method includes storing first motion-sensing statistics derived from first motion-sensing data associated with a first time frame. The first motion-sensing data is associated with a first motion-sensing topology of a wireless mesh network. The method also includes obtaining second motion-sensing statistics derived from second motion-sensing data associated with a second, subsequent time frame. The second motion-sensing data is associated with a second, distinct motion-sensing topology of the wireless mesh network. The first motion-sensing statistics are compared to the second motion-sensing statistics. The method additionally includes generating a probability vector based on the comparison. A location of the motion of the object during the second time frame is determined based on the probability vector.

Presented herein are systems and methods for detecting a boundary line crossing based on Round Trip Time (RTT) measured for wireless signals transmitted between and initiator wireless transceiver and a responder wireless transceiver deployed to form a straight boundary line. The initiator wireless transceiver transmits wireless probe signal(s) to the responder wireless transceiver, receives a wireless response signal transmitted by the responder wireless transceiver in response to the wireless probe signal(s), calculates an RTT combining a travel time of the wireless probe signal(s) and the travel time of the wireless response signal(s), compares the RTT to a reference RTT computed for a wireless probe signal and a corresponding wireless response signal transmitted in a clear straight transmission path while the boundary line is clear of obstacles and determines whether an object is blocking the straight transmission path based on a deviation of the RTT from the reference RTT.

A method of detecting break-ins in an intrusion-detection barrier which includes an array of sensors in signal communication with one another and connected to a control unit may include: calibrating at least one of the sensors of the array, the calibrating including: applying mechanical stress to the barrier to cause the barrier to resonate at characteristic frequencies; and creating a digital filter, for the at least one of the sensors, configured to identify the characteristic frequencies; and/or detecting external forcing applied to the barrier, the external forcing having oscillation-forcing frequencies, the detecting including: applying the filter to identify the oscillation-forcing frequencies applied to the barrier, and discriminating the oscillation-forcing frequencies from the characteristic frequencies of the barrier; selecting at least one energy threshold value; calculating an energy value for each of the oscillation-forcing frequencies; and comparing each of the energy values with the at least one energy threshold value.

The systems and method proposed herein aim to identify a mobile device or devices worn by an individual or a subject that has entered an area monitored by a passive motion detection system that uses wireless signals to sense motion in the space. The system will collect as much signals as possible from both the devices worn by the individual and from the system performing the passive (device-free) motion detection for identifying the individual or person of interest. The individual or person of interest may be a user of a product or an intruder.