Cognitive Systems Corp.

Blackberry Corporation

Mohammad Omer

Stephen Arnold Devison

Chris Beg

Oleksiy Kravets

Tajinder Manku

Yunfeng Piao

Christopher Beg

Dustin Griesdorf

Christopher Vytautas Olekas

Mikhail Alexand Zakharov

Karanvir Chattha

Stanley Ituah

Christopher Eugene Snyder

William Halford

Anith Selvakumarasingam

Marco Paulo Dos Santos Nogueira

Marco Nogueira

Marco Paulo Dos Santos Nogueria

Hamed Holisaz

Marco Paulo Nogueira

Marco Paula Dos Santos Nogueira

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.

Systems and methods for Wi-Fi sensing

A method includes obtaining a set of motion indicator values associated with a time frame. The set of motion indicator values indicating motion detected from wireless links in a wireless communication network during the time frame. The method also includes generating a probability vector comprising values for the connected wireless communication devices and generating spatial coordinates for respective wireless communication devices. The spatial coordinates for each wireless communication device representing a location of the wireless communication device in space. The method also includes modifying the probability vector based on the spatial coordinates of each wireless communication device to generate a modified probability vector representing a probability of motion at the connected wireless communication device during the time frame. The method also includes using the modified probability vector to localize motion relative to the wireless communication device during the time frame.

Utilizing spatial maps for motion localization based on motion-sensing data derived from wireless signals

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.

Filtering channel responses for motion detection

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.

Determining a location of motion detected from wireless signals

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.

Isolation of electronic environment for improved channel estimation

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.

Recognizing gestures based on wireless signals

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.

Detecting a location of motion using wireless signals that propagate along two or more paths of a wireless communication channel

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.

Systems and methods for time domain channel representation information for Wi-Fi sensing

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.

Operating a mobile wireless communication device for wireless motion sensing

Systems and methods for dynamic channel representations are described. Initially a sensing receiver receives a sensing transmission. The sensing receiver then generates a sensing measurement based on the sensing transmission. Thereafter, the sensing receiver generates a channel representation information of a propagation channel between the sensing receiver and a sensing transmitter based on the sensing measurement. The sensing receiver then obtains a sensing imprint representing a steady-state propagation channel between the sensing receiver and the sensing transmitter. Further, the sensing receiver compares the channel representation information to the sensing imprint and identifies a difference between the channel representation information and the sensing imprint. The sensing receiver may further send the channel representation information to a sensing algorithm manager.

Systems and methods for dynamic time domain channel representations

In a general aspect, various fields of a PHY frame are used for motion detection. In some aspects, a first training field and a second, different training field are identified in a PHY frame of each wireless signal transmitted between wireless communication devices in a wireless communication network. A first time-domain channel estimate and a second time-domain channel estimate are generated for each wireless signal. The first time-domain channel estimate is based on a first frequency-domain signal included in the first training field, while the second time-domain channel estimate is based on a second frequency-domain signal included in the second training field. A determination is made whether motion has occurred in a space during the time period based on the first time-domain channel estimates, and a location of the motion within the space is determined based on the second time-domain channel estimates.

Using MIMO training fields for motion detection

Systems and methods for Wi-Fi sensing are provided. A networking device is configured to transmit a sensing trigger message including information about a plurality of fast sounding sensing signals to be transmitted. The networking device receives the plurality of fast sounding sensing signals transmitted by a sensing transmitter in response to the sensing trigger message within a transmission opportunity. The networking device performs a plurality of sensing measurements on the plurality of fast sounding sensing signals wherein the plurality of sensing measurements include measurements of Doppler frequency information associated with motion in a sensing space.

Systems and methods for motion detection using sensing transmission clusters

Systems and methods for accommodating flexibility in sensing transmissions are provided. Wi-Fi sensing systems include sensing devices and remote devices configured to communicate through radio-frequency signals. Initially, a sensing device transmits a sensing configuration message to a remote device. The sensing device receives a sensing configuration response message in response to the sensing configuration message. In an example, the sensing configuration response message may include a transmission capability indication associated with the remote device. The transmission capability indication includes a flexibility indication that the remote device supports flexibility.

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Mohammad Omer