Cognitive Systems Corp.

Blackberry Corporation

Research in Motion Corporation

Oleksiy Kravets

Tajinder Manku

Mohammad Omer

Stephen Arnold Devison

Perry Jarmuszewski

Nagula Tharma Sangary

Lizhong Zhu

Michael Stephen Corrigan

George Soliman Mankaruse

Kent Arnold Nickerson

Yunfeng Piao

Dustin Griesdorf

Christopher Vytautas Olekas

Karanvir Chattha

Stanley Ituah

Sean Bartholomew Simmons

Khurram Muhammad

David Blaine Dietz

Nebu John Mathai

Colin John Sherrat

Phat Hong Tran

Mikhail Ravkine

Hamed Holisaz

Hugh Robert Faulkner Hind

Hugh Robert Hind

Kent A Nickerson

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.

Motion detection and localization based on bi-directional channel sounding

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.

Motion detection based on beamforming dynamic information from wireless standard client devices

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.

Motion detection by a central controller using beamforming dynamic information

In a general aspect, a sensitivity setting is adjusted in a motion detection system. In some aspects, a user interface is provided by a motion detection system, and user input data is obtained through the user interface. A wireless communication link is identified based on the user input data; the wireless communication link is provided by a first wireless communication device and a second wireless communication device. Based on the user input data, a value is assigned to a sensitivity setting associated with the wireless communication link in the motion detection system. The motion detection system obtains data for motion detection based on wireless signals communicated through a space on the wireless communication link. Motion of an object in the space is detected based on the data and the value of the sensitivity setting.

Modifying sensitivity settings in a motion detection system

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 prior time frame. The method also includes generating a prior probability vector based on the set of motion indicator values and comprising values for wireless communication devices connected to the wireless communication network during the prior time frame. The method additionally includes selecting the prior probability vector or one of a plurality of initialization probability vectors based on the set of motion indicator values, a configuration of the wireless communication network, or both. The method further includes using the selected probability vector and a set of motion indicators associated a second, subsequent time frame to identify a location associated with motion that occurred during the subsequent time frame.

Initializing probability vectors for determining a location of motion detected from wireless signals

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.

Determining a location of motion detected from wireless signals based on wireless link counting

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.

Motion detection based on beamforming dynamic information

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.

Detecting presence based on wireless signal analysis

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.

Training data for a motion detection system using data from a sensor device

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.

Motion detection in mesh networks

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.

Operating a motion detection channel in a wireless communication network

In a general aspect, a wireless communication channel is selected based on signal quality metrics. In some aspects, a first wireless communication device receives a first set of signals based on wireless signals transmitted through a space on a set of wireless communication channels from a second wireless communication device. A signal quality metric value is computed for each wireless communication channel based on the first set of signals, and one of the wireless communication channels is selected based on a comparison of the signal quality metric values for the respective wireless communication channels. The first wireless communication device receives a second set of signals based on wireless signals transmitted through the space on the selected wireless communication channel from the second wireless communication device, and a motion detection process is executed to detect motion of an object in the space based on the second set of signals.

Selecting wireless communication channels based on signal quality metrics

In a general aspect, a wireless communication channel is selected based on signal quality metrics. In some aspects, a first wireless communication device receives a first set of signals based on wireless signals transmitted through a space on a first wireless communication channel from a second wireless communication device. A signal quality metric value is computed based on the first set of signals, and a second wireless communication channel is selected based on a determination that the value of the signal quality metric does not meet a quality criterion for a motion detection process. The first wireless communication device receives a second set of signals based on wireless signals transmitted through the space on the second wireless communication channel from the second wireless communication device, and the motion detection process is executed to detect motion of an object in the space based on the second set of signals.

In some aspects, a wireless-signal source locator system includes wireless sensor devices distributed at distinct locations over a geographic region. The wireless sensor devices are configured to passively monitor wireless communication network signals in the geographic region. Each wireless sensor device is configured to receive a source signal wirelessly transmitted by a source (e.g., a mobile device, etc.) and a reference signal (e.g., from a synchronization source). The wireless sensor devices can generate arrival-time data based on the source signal and the reference signal. The wireless-signal source locator system further includes a data analysis system configured to receive the arrival-time data from the wireless sensor devices and to identify a location of the source based on analyzing the arrival-time data generated by three or more of the wireless sensor devices.

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Petersburg, Canada

Oleksiy Kravets