Abstract: A method includes receiving, at a cloud-based computer system, motion data from a remote motion detection system configured to detect motion in a space. The motion data is derived from wireless signals communicated through the space by the wireless communication devices. A motion classifier is applied to the motion data by the cloud-based computer system to detect an occurrence of a first predefined motion event in the space. A subset of the third party entities that have registered for notifications associated with the first predefined motion event is identified based on reference to a database. Notifications are generated addressed to the subset of the third party entities. Each notification includes an indication that the first predefined motion event was detected and additional information describing the occurrence of the first predefined motion event. The notifications are then sent to the subset of the third party entities.

Abstract: In a general aspect, a motion detection system detects gestures (e.g., human gestures) and initiates actions in response to the detected gestures. In some aspects, channel information is obtained based on wireless signals transmitted through a space by one or more wireless communication devices. A gesture recognition engine analyzes the channel information to detect a gesture (e.g., a predetermined gesture sequence) in the space. An action to be initiated in response to the detected gesture is identified. An instruction to perform the action is sent to a network-connected device associated with the space.

Abstract: Systems and methods for Wi-Fi sensing are provided. Wi-Fi sensing systems include sensing devices and remote devices configured to communicate through radio-frequency signals. Sensing devices and remote devices are configured to communicate with one another to establish sensing transmission configurations through established protocols. Sensing devices described herein are configured to provide Wi-Fi sensing measurements based on the reception of messages transmitted from remote devices according to established configurations.

Abstract: In a general aspect, a motion detection system detects gestures (e.g., human gestures) and initiates actions in response to the detected gestures. In some aspects, channel information is obtained based on wireless signals transmitted through a space by one or more wireless communication devices. A gesture recognition engine analyzes the channel information to detect a gesture (e.g., a predetermined gesture sequence) in the space. An action to be initiated in response to the detected gesture is identified. An instruction to perform the action is sent to a network-connected device associated with the space.

Abstract: In a general aspect, motion-sensing data are generated based on wireless signals transmitted between respective pairs of wireless communication devices in a wireless communication network. Spatial coordinates are generated for the respective wireless communication devices, and user input is received in response to a graphical representation of a spatial arrangement of the wireless communication devices. The user input indicates a selected group of the wireless communication devices that share a common characteristic. Motion zones in a motion detection system associated with the space are defined. Each of the motion zones represents a distinct region in the space, and the motion zones include a first motion zone representing a region that includes the selected group of the wireless communication devices.

Abstract: A method includes receiving a ground-truth motion indication from a measurement device. The ground-truth motion indication is a time series of locations and a corresponding indication of a motion state at each location of the time series of locations. The method also includes receiving a time series of detected motion states based on wireless signals communicated through a space over a time period by a wireless communication network comprising a plurality of wireless communication devices. The detected motion states for a time interval within the time series are compared to the ground-truth motion indication for the time interval within the time series to generate a time series of consistency scores. The consistency scores are processed to produce an aggregate motion-detection capability score at each location. The method also includes providing, for display as a graphical representation of motion-detection capability within the space, the aggregate motion-detection capability at each location.

Abstract: In a general aspect, metrics of interest are generated based on motion data and displayed. In some aspects, a method includes obtaining channel information based on wireless signals communicated through a space over a time period by a wireless communication network. The space includes a plurality of locations. The method includes generating motion data based on the channel information. The motion data includes motion indicator values and motion localization values for the plurality of locations. The method further includes identifying, based on the motion data, an actual value for a metric of interest for the time period; identifying, based on user input data, a benchmark value for the metric of interest for the time period; and providing, for display on a user interface of a user device, the actual value for the metric of interest and the benchmark value for the metric of interest.

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 motion data includes a set of motion indicator values. The method also includes generating a first probability vector based on the set of motion indicator values and obtaining a second probability vector generated from motion data associated with a prior time frame. The method additionally includes obtaining a transition probability matrix that includes transition values and non-transition values. The method further includes determining, by operation of a data processing apparatus, a location of the motion detected from the wireless signals exchanged during the first time frame.

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 motion data includes a set of motion indicator values. The method also includes generating a first probability vector based on the set of motion indicator values and obtaining a second probability vector generated from motion data associated with a prior time frame. The method additionally includes obtaining a transition probability matrix that includes transition values and non-transition values. The method further includes determining, by operation of a data processing apparatus, a location of the motion detected from the wireless signals exchanged during the first time frame.

Abstract: In a general aspect, a method is presented for determining a motion zone for a location of motion detected by wireless signals. In some aspects, the method includes obtaining a time series of statistical parameters derived from sets of channel response data. The method also includes identifying time intervals in the time series of statistical parameters, each time interval associated with a respective motion zone in the space. The method additionally includes determining, by analyzing multiple time windows within each of the time intervals, ranges of motion-zone parameters associated with each respective motion zone. The method further includes storing, in a database of a motion detection system, the ranges of motion-zone parameters for the respective motion zones. The 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 set of observed frequency-domain channel responses is filtered to remove noise or distortions that are not related to changes in the physical environment. In some aspects, for each frequency-domain channel response, a time-domain channel response is generated based on the frequency-domain channel response; and a filtered time-domain channel response is generated based on a constraint applied to the time-domain channel response. Additionally, a reconstructed frequency-domain channel response is generated based on the filtered time-domain channel response. An error signal is also generated, and a determination is made as to whether the error signal satisfies a criterion. The error signal can be indicative of a difference between the frequency-domain channel response and the reconstructed frequency-domain channel response. In response to each of the error signals satisfying the criterion, motion of an object in a space is detected based on the set of frequency-domain channel responses.

Abstract: In a general aspect, a motion sensing topology of a multi-access point (multi-AP) wireless communication network can be controlled. In some aspects, the multi-AP wireless communication network includes a first AP device, a second AP device, and a multi-AP controller. The multi-AP controller identifies a wireless communication topology, which includes identifying that a first client station device is associated with the first AP device. The multi-AP controller defines a motion sensing topology that is different from the wireless communication topology, and the motion sensing topology includes a wireless motion sensing link between the first client station device and the second AP device. The multi-AP controller initiates a motion sensing measurement based on the motion sensing topology, and the motion sensing measurement uses the wireless motion sensing link while the first client station device remains associated with the first AP device.

Abstract: In a general aspect, a wireless communication device operating as a client in a wireless communication network receives wireless signals transmitted from an access point of the network. The device generates channel information from the wireless signals and processes the channel information to identify a degree of motion and average breathing rate of a person. Upon determining that the degree of motion and average breathing rate are below respective thresholds, the device begins sleep monitoring. Sleep monitoring includes generating additional channel information that is processed to identify a category of sleep.

Abstract: In a general aspect, motion is detected using wireless signals. In an example, a method includes receiving, at a wireless communication device, requests for the wireless communication device to transmit wireless signals, the requests initiated by a wireless sensing system. The method further includes transmitting a series of wireless signals from the wireless communication device in response to the requests, and detecting, at the wireless communication device, a trigger event after transmitting the series of wireless signals. The method additionally includes updating, by the wireless communication device, a state of the wireless communication device based on the trigger event, the updated state indicating that the wireless communication device is not enabled to transmit wireless signals in response to the requests from the wireless sensing system. The method also includes communicating, by the wireless communication device, the updated state of the wireless communication device to the wireless sensing system.

Abstract: In a general aspect, a motion sensing topology of a multi-access point (multi-AP) wireless communication network can be controlled. In some aspects, the multi-AP wireless communication network includes a first AP device, a second AP device, and a multi-AP controller. The multi-AP controller identifies a wireless communication topology, which includes identifying that a first client station device is associated with the first AP device. The multi-AP controller defines a motion sensing topology that is different from the wireless communication topology, and the motion sensing topology includes a wireless motion sensing link between the first client station device and the second AP device. The multi-AP controller initiates a motion sensing measurement based on the motion sensing topology, and the motion sensing measurement uses the wireless motion sensing link while the first client station device remains associated with the first AP device.

Abstract: In a general aspect, MIMO transmissions are elicited from wireless communication devices for wireless sensing. A first wireless communication device may be configured to generate network or transport layer messages addressed to a second wireless communication device in a wireless communication network, and wirelessly transmit the network or transport layer messages to the second wireless communication device to elicit MIMO transmissions from the second wireless communication device. The first wireless communication device may further be configured to receive MIMO transmissions from the second wireless communication device, where the MIMO transmissions traverse a space between the first wireless communication device and the second wireless communication device.

Abstract: In a general aspect, a rate at which MIMO transmissions are elicited from wireless communication devices is varied. A first wireless communication device may be configured to wirelessly transmit a first set of messages at a first transmission rate to a second wireless communication device. The first wireless communication device may further be configured to receive MIMO transmissions from the second wireless communication device. The first wireless communication device may additionally be configured to generate first channel information based on respective training fields in each of the first MIMO transmissions; determine a rate at which the first channel information is generated; vary the first transmission rate to a second, different transmission rate based on the rate at which the first channel information is generated; and wirelessly transmit a second set of messages at the second transmission rate to the second wireless communication device.

Abstract: In a general aspect, motion is detected in an environment using wireless signals. In one example, a downlink high-efficiency PHY (HE-PHY) frame is received. The downlink HE-PHY frame is transmitted by an access point device to wireless communication devices residing inside an environment. An uplink orthogonal frequency-division multiple access (UL-OFDMA) transmission is subsequently received in response to the downlink HE-PHY frame. The UL-OFDMA transmission is transmitted by the wireless communication devices to the access point device. The UL-OFDMA transmission includes uplink HE-PHY frames simultaneously transmitted on respective resource units by the respective wireless communication devices. A motion data set is generated based on channel responses computed from the uplink HE-PHY frames. Each channel response is computed from a respective one of the uplink HE-PHY frames. Motion within the environment is analyzed based on the motion data set.

Abstract: In a general aspect, MIMO transmissions are elicited from wireless communication devices for wireless sensing. A first wireless communication device may be configured to generate network or transport layer messages addressed to a second wireless communication device in a wireless communication network, and wirelessly transmit the network or transport layer messages to the second wireless communication device to elicit MIMO transmissions from the second wireless communication device. The first wireless communication device may further be configured to receive MIMO transmissions from the second wireless communication device, where the MIMO transmissions traverse a space between the first wireless communication device and the second wireless communication device.

Abstract: In a general aspect, a method is presented for detecting a location of motion using wireless signals that propagate along two or more paths of a wireless communication channel. The method includes storing a set of eigenvectors 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 a motion vector based on wireless signals transmitted between access point nodes in the wireless mesh network during a second, subsequent time frame. The wireless mesh network operates in a second, distinct motion-sensing topology during the second time frame. The motion vector is compared with the respective eigen vectors, and a probability vector is generated based on the comparison. A location of the motion of the object during the second time frame is determined based on the probability vector.