Abstract: In a general aspect, a method for determining a location of motion detected by wireless communication devices in a wireless communication network includes obtaining motion data associated with a first time frame. The method also includes identifying a first wireless link, of a plurality of wireless links, based on a magnitude of a motion indicator value associated with the first wireless link relative to the other motion indicator values in a set of motion indicator values. The method additionally includes generating a first probability vector based on a predetermined map and the first wireless link and obtaining a second probability vector generated from motion data associated with a prior time frame. The method further includes determining, by operation of a data processing apparatus, a location of motion detected from wireless signals exchanged during the first time frame.

Abstract: In a general aspect, a motion detection system manages leaf nodes used for sounding by one or more access points. For example, an access point obtains presence information for a plurality of AP-leaf node links for a plurality of calibration periods. Presence activity is determined for each AP-leaf node link in each calibration period based on its respective presence information. Static leaf nodes are identified based on the presence activity for the plurality of AP-leaf node links in a calibration window, the calibration window comprising a number of the plurality of calibration periods. The motion detection system is updated to use at least one of the identified static leaf node as a sounding node for motion detection.

Abstract: In a general aspect, a motion detection system manages leaf nodes used for sounding by one or more access points. For example, an access point identifies one or more static leaf nodes based on presence activity of each leaf node in a calibration window. A health score is determined for each AP-leaf node link for each calibration window based on AP-leaf node link quality information. One or more of the static leaf nodes are selected to be used for sounding in the motion detection system based on the health scores for each of the AP-leaf node links. The motion detection system is then updated to use the selected one or more static leaf nodes for motion detection.

Abstract: In a general aspect, a method is presented for determining a motion-zone confidence. In some aspects, the method includes obtaining, from a database of a motion detection system, ranges of motion-zone parameters associated with respective motion zones in a space between wireless communication devices. The method also includes analyzing the ranges of motion-zone parameters to identify, for one or more of the motion zones, overlapping ranges of motion-zone parameters and non-overlapping parameter ranges of motion-zone parameters. The method additionally includes storing, in the database of the motion detection system, the overlapping and non-overlapping ranges of motion-zone parameters. The overlapping and non-overlapping ranges of motion-zone parameters are used to identify one of the motion zones based on a motion event detected by the motion detection system.

Abstract: In a general aspect, a method for determining a location of motion detected by wireless communication devices in a wireless communication network includes obtaining a set of motion indicator values associated with a time frame. The set of motion indicator values indicates motion detected from wireless links during the time frame, each motion indicator value associated with a respective wireless link. The method also includes identifying a subset of the wireless links based on a magnitude of their respective motion indicator values relative to other motion indicator values in the set of motion indicator values. The method additionally includes generating count values for the wireless communication devices connected to the wireless communication network during the time frame. The method further includes generating a probability vector based on the count values and comprising values for the connected wireless communication devices.

Abstract: In a general aspect, motion is detected using wireless signals. In one example, beamforming dynamic information is obtained based on a set of wireless signals transmitted through a space from a first wireless communication device to a second wireless communication device. Motion of an object in the space is detected based on the beamforming dynamic information.

Abstract: In a general aspect, a location of detected motion in a space is determined. In some aspects, motion of an object in a space is detected based on wireless signals communicated through the space by a wireless communication system that includes multiple wireless communication devices. Each wireless signal is transmitted and received by a respective pair of the wireless communication devices. Motion indicator values are computed for the respective wireless communication devices. The motion indicator value for each individual wireless communication device represents a degree of motion detected by the individual wireless communication device based on a subset of the wireless signals transmitted or received by the individual wireless communication device. A location of the detected motion in the space is determined based on the motion indicator values.

Abstract: In a general aspect, a method for determining motion zones in a space traversed by wireless signals. In some aspects, the method includes obtaining, over a time frame, sets of channel response data based on wireless signals communicated over wireless links through a space between wireless communication devices. A time series of statistical parameters is generated for each wireless link based on a respective set of channel response data. The method additionally includes determining a plurality of motion zones in the space based on changes in the time series of statistical parameters for each wireless link. Sets of motion-zone parameters are generated that characterize respective motion zones of the plurality of motion zones. The method further includes storing, in a database of a motion detection system, the plurality of motion zones and sets of motion-zone parameters.

Abstract: In a general aspect, a monitoring system detects presence of an object in a space, e.g., when no motion is detected. Motion of an object in a space is detected by analyzing a first set of signals based on wireless signals transmitted in a first time period. Lack of motion in the space is detected by analyzing a second set of signals based on wireless signals transmitted in a second, subsequent time period. Whether the object was present in the space during the second time period is detected by analyzing the second set of signals.

Abstract: In a general aspect, detected motion is localized based on channel response characteristics. In some aspects, channel responses based on wireless signals transmitted through a space between wireless communication devices are obtained. A motion detection process is executed to detect motion of an object in the space based on the channel responses, and the channel responses are analyzed to identify a location of the detected motion within one of a plurality of regions within the space.

Abstract: In a general aspect of the examples described, sensor data from a sensor device are used to improve training data for a motion detection system. In some aspects, “ground truth” labels, sensor data, and channel information are received for a motion detection training period. The labels and sensor data are analyzed to detect variances between the labels and sensor data. The labels are corrected or augmented based on the sensor data. The channel information is tagged with the labels and provided as training information to train the motion detection system.

Abstract: In a general aspect of the examples described, motion is detected based on bi-directional channel sounding. In an example, a first set of channel information is obtained from a first device. The first set of channel information is based on a first set of wireless signals transmitted from a second device through a space at a first time in a timeframe. A second set of channel information is obtained from the second device. The second set of channel information is based on a second set of wireless signals transmitted from the first device through the space at a second time in the timeframe. The first and second sets of channel information are analyzed to detect a category of motion or a location of detected motion in the space during the timeframe.

Abstract: In a general aspect, detected motion is localized based on channel response characteristics. In some aspects, channel responses based on wireless signals transmitted through a space between wireless communication devices are obtained. A motion detection process is executed to detect motion of an object in the space based on the channel responses, and the channel responses are analyzed to identify a location of the detected motion within one of a plurality of regions within the space.

Abstract: In a general aspect, motion is detected using wireless signals. In one example, a wireless standard protocol message is transmitted by a wireless communication device through a space to one or more neighbor devices. A corresponding wireless standard protocol response including beamforming information feedback is received from each of the one or more neighbor devices in response to the wireless standard protocol message. Motion of an object in the space is detected based on the beamforming information feedback from each of the neighbor devices.

Abstract: In a general aspect, motion is detected using wireless signals. In one example, beamforming dynamic information is obtained based on a set of wireless signals transmitted through a space from a first wireless communication device to a second wireless communication device. Motion of an object in the space is detected based on the beamforming dynamic information.

Abstract: In a general aspect, motion is detected using wireless signals. In one example, a wireless signal transmitted through a space from a first wireless communication device is received at a second wireless communication device. Dynamic beamforming information is based on the wireless signal. The second wireless communication device uses the dynamic beamforming information to detect motion in the space, or transmits the dynamic beamforming information to the first wireless communication device for use in detecting motion in the space.

Abstract: In a general aspect, a location of detected motion in a space is determined. In some aspects, motion of an object in a space is detected based on wireless signals communicated through the space by a wireless communication system that includes multiple wireless communication devices. Each wireless signal is transmitted and received by a respective pair of the wireless communication devices. Motion indicator values are computed for the respective wireless communication devices. The motion indicator value for each individual wireless communication device represents a degree of motion detected by the individual wireless communication device based on a subset of the wireless signals transmitted or received by the individual wireless communication device. A location of the detected motion in the space is determined based on the motion indicator values.

Abstract: In a general aspect of the examples described, motion is detected based on received wireless signals in a mesh network. In an example, transfer function components for each pair of devices are obtained. A time series of transfer function matrices is generated, with each of the transfer function matrices comprising a respective subset of the transfer function components. Motion of an object in the space is detected based on the time series of transfer function matrices.

Abstract: In a general aspect, motion is detected based on statistical parameters of received wireless signals. In some aspects, signals are obtained. The signals are based on wireless signals transmitted through a space and received at a wireless communication device. Values of a set of statistical parameters are computed for each signal, and filtered values are obtained by applying a filter to the values of the statistical parameters. The filter includes parameters based on a signal quality analysis of the wireless signals. A motion detection process is executed to determine, based on the filtered values, whether an object moved in the space.

Abstract: In a general aspect, a motion detection channel is operated in a wireless communication network. In some aspects, a first wireless network device communicates wireless network traffic on a first subset of wireless communication channels in a wireless communication network. The first wireless network device receives motion detection signals transmitted through a space by a second wireless network device. The motion detection signals are received on a second subset of wireless communication channels. The motion detection signals are processed to detect motion of an object in the space.