Abstract: In a general aspect, a method of operating a motion detection system includes receiving, by operation of one or more communication interfaces, radio frequency wireless signals communicated by a plurality of wireless communication devices. The radio frequency wireless signals are processed to generate channel information. By operation of a motion detection engine of the motion detection system, generating motion data based on the channel information that includes a series of vectors in a series of time points within the time period. The motion data includes motion indicator values indicative of a degree of motion that occurred in the space and motion localization values for a plurality of locations. Processing the series of vectors includes determining an aggregate degree of motion that occurred at each of the individual locations during the time period and determining a duration of activity that occurred at each of the individual locations during the time period.

Abstract: Systems and methods for Wi-Fi sensing using UL-OFDMA are provided. Wi-Fi sensing systems include sensing devices and sensing transmitters configured to communicate through radio-frequency signals. Initially, first channel resources are allocated to first expected transmissions from the sensing transmitters and first sensing trigger message to trigger first series of sensing transmissions from the sensing transmitters is transmitted. Further, a first series of sensing transmissions is received, and the first series of sensing measurements are generated. Thereafter, identification of feature of interest is obtained and a selection of sensing transmitters is determined. Second channel resources are allocated to second expected transmissions from the selection of sensing transmitters. A second sensing trigger message to trigger a second series of sensing transmissions from the selection of the sensing transmitters is provided.

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 mobile wireless communication device is operated for motion sensing. In some aspects, wireless signals transmitted from a second wireless communication device through a space during a time period are received at a first wireless communication device. By operation of the first wireless communication device, channel state information is generated based on the wireless signals. Whether the first wireless communication device moved during the time period is detected. In response to detecting that the first wireless communication device moved relative to the second wireless communication device during the time period, motion sensing parameters of a motion sensing system are updated. The channel state information is processed according to the updated motion sensing parameters to detect motion of an object—other than the first wireless communication device—in the space during the time period.

Abstract: Systems and methods for Wi-Fi sensing are provided. A method for Wi-Fi sensing carried out by a sensing decision unit in operation on at least one processor configured to execute instructions. Measured channel state information (M-CSI) representing a sensing measurement and receiver front end state information (RFE-SI) are received. According to the RFE-SI, sensing decision input information is determined.

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: A method includes obtaining motion data at a wireless communication device in a motion detection system. The motion data is derived from wireless signals communicated through the space by the wireless communication devices. Over a training period, the motion data is provided to a cloud-based computer system. A motion pattern detection function is received from the cloud based computer system. The motion pattern detection function corresponding to a motion event that occurred in the space during the training period. after the training period, additional motion data is obtained at the wireless communication device. The motion pattern detection function is applied to the additional motion data to detect an occurrence of the motion event in the space. A message that includes an indication of that the motion event was detected is sent from the wireless communication device to the cloud-based computer system.

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: Systems and methods for time domain channel representation information for Wi-Fi sensing. Wi-Fi sensing systems include sensing devices and remote devices configured to communicate through radio-frequency signals. Initially, a sensing device receives a channel representation information configuration representative of channel state information in time domain. The sensing device then receives a sensing transmission and generates a sensing measurement based on the sensing transmission. Thereafter, the sensing device generates a time domain representation of the sensing measurement and selects one or more time domain pulses indicative of the time domain representation based on the channel representation information configuration. The sensing device communicates the one or more time domain pulses to a sensing algorithm manager for use in determining motion or movement.

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, 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, 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 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.