Abstract: A system including a radar unit, a processor unit and a communication module, the radar unit including a transmitter antenna connected to an oscillator and transmitting electromagnetic waves into a monitored region, and a receiver antenna receiving electromagnetic waves reflected by objects within the monitored region and generating raw data, the communication module communicating alerts to third parties, the processor unit including a moving body isolation processor, a tracker module receiving and processing data from the radar unit to identify and track location of moving targets over time thereby generating target data, an alert-threshold generator generating an alert-threshold, a neural network receiving from the tracker module target data inputs selected from height profiles, signal-to-noise ratio and radial distance to object and generating a fall likelihood score, and a fall identification module receiving the fall likelihood score and detecting a fall event if the likelihood score is above an alert-th

Abstract: Target monitoring and alert systems for identifying and tracking targets within radar data. Raw frame data is filtered to remove data relating to reflections from static objects. Moving targets are identified in the filtered data and their location is tracked over time generating target data. Neural networks may process the target data, calculate a fall likelihood score and generate a fall-alert if this is above an alert-threshold. A person identification module may extract the position and motion characteristics of each target from the data and generate a probabilistic identification of the target with a person.

Abstract: Systems and methods for monitoring life signs in a subject. A radar unit comprising generates raw data and a processor unit receives raw data and identifies oscillating signals in a series of arrays of complex values representing radiation reflected from each voxel of a target region during a given time segment. A phase vaue is determined for each voxel in each frame and a waveform representing phase changes over time for each voxel is generated. Voxels indicating an oscillating signal are selected and life sign parameters are extracted.

Abstract: Systems and methods for monitoring health and wellbeing in an ongoing manner use radar chips to scan monitored regions such that data obtained by the scanning radar chip are processed to identify targets within the monitored region. Health indication and activity parameters are gathered via a wellbeing prediction engine assesses the targets using a machine learning model.

Abstract: Vehicle cabin monitoring using a radar unit centrally positioned within the cabin to obtain image data of the vehicle cabin and a processor to generate detect occupancy of seats within the vehicle cabin, categorize occupants, detect posture, determine seatbelt status and monitor life signs of the occupants. An output unit may execute responses appropriate to the status of occupants of the vehicle cabin.

Abstract: Fall detection systems and methods use radar chips to scan monitored regions such that data obtained by the scanning radar chip are processed to identify targets within the monitored region. Targets are tracked and profiled indicating their posture and fall detection rules are applied. Standard energy profiles and time dependent energy profiles are generated for various segments of the monitored region and compared to the current energy profile for each target segment of the monitored region. Anomalies are detected, false fall alerts filtered out and verified fall alerts are generated.

Abstract: Systems and methods for a radar-based viral transmission prevention for a protected space are disclosed. The system comprises a gateway screening system 104 configured for remotely screening subjects crossing a boundary of a protected space, an elevator monitoring system 106 configured for monitoring passengers using an elevator system and a social distance monitoring system 108 configured for monitoring social distancing compliance within the protected space. The system also includes a telemedical monitoring system 110 configured and operable for remotely measuring one or more parameters of a patient using a radar-based system. The system further includes a gesture recognition system 112 configured and operable to identify hand gestures remotely.

Abstract: Fall detection systems and methods use radar chips to scan monitored regions such that data obtained by the scanning radar chip are processed to identify targets within the monitored region. Targets are tracked and profiled indicating their posture and fall detection rules are applied. Standard energy profiles and time dependent energy profiles are generated for various segments of the monitored region and compared to the current energy profile for each target segment of the monitored region. Anomalies are detected, false fall alerts filtered out and verified fall alerts are generated.

Abstract: A method for touch detection on an ungrounded pen enabled device includes sampling output in a frequency range of a signal emitted from a stylus over a stylus sampling window, detecting touch input from a finger or hand based on detecting a gain between a touch threshold and a stylus threshold, wherein the touch threshold is below the stylus threshold over at least two consecutive columns and two consecutive rows of the sensor and reporting coordinates of the touch input based on detecting the touch input. Stylus input is detected based on detecting a gain above a stylus threshold in at least one column and one row of the sensor and coordinates of the stylus are reported based on stylus input being detected. Sampling is performed simultaneously from both columns and rows of a grid based capacitive sensor.

Abstract: A method includes sampling output from sensor having electrode junctions integrated on a device including a display, detecting capacitance between the device ground and a user (CBD) based on the output sampled and a pre-defined model, and defining one of two grounding states of the device based on the capacitance detected. Output is processed based on the grounding state defined and touch coordinates are determined based on the output processed. The touch coordinates are reported to a controller of the display.

Abstract: A method for touch detection on an ungrounded pen enabled device includes sampling output in a frequency range of a signal emitted from a stylus over a stylus sampling window, detecting touch input from a finger or hand based on detecting a gain between a touch threshold and a stylus threshold, wherein the touch threshold is below the stylus threshold over at least two consecutive columns and two consecutive rows of the sensor and reporting coordinates of the touch input based on detecting the touch input. Stylus input is detected based on detecting a gain above a stylus threshold in at least one column and one row of the sensor and coordinates of the stylus are reported based on stylus input being detected. Sampling is performed simultaneously from both columns and rows of a grid based capacitive sensor.

Abstract: A first set of classifier data and a different second set of classifier data are stored. Each of the first set and the second set is configured to differentiate between different types of touches on a touch sensitive screen including a capacitive based sensor. The first set is adapted to differentiate between different types of touches on a touch sensitive screen with no cover film added on the screen and the second set is adapted to differentiate between different types of touches when a cover film is added to the screen. The cover film is identified on the screen based on output from at least one conductive line or at least one array of conductive electrodes of the capacitive based sensor. The second set of classifier data is selected based on the identifying. A touch interaction is reported based on the second set of classifier data.

Abstract: A device includes a display, a controller configured to control the display, a sensor integrated with the display and a circuit a circuit in communication with the sensor. The sensor is configured to sense touch input and the circuit is configured to detect when a user is gripping the device only based on output from the sensor and a pre-defined model. Gripping is reported to the controller.

Abstract: A method includes detecting a signal emitted by a stylus with a digitizer sensor, determining coordinates of the stylus, identifying a hover operational mode based on input received by the stylus, detecting a capacitive effect of a tip of the stylus on the digitizer sensor and reporting a touch operational mode of the stylus based on the capacitive effect detected. The capacitive effect of the tip of the stylus on the digitizer sensor is based on mutual capacitive detection and is performed in a defined area around the coordinates determined.

Abstract: A first set of classifier data and a different second set of classifier data are stored. Each of the first set and the second set is configured to differentiate between different types of touches on a touch sensitive screen including a capacitive based sensor. The first set is adapted to differentiate between different types of touches on a touch sensitive screen with no cover film added on the screen and the second set is adapted to differentiate between different types of touches when a cover film is added to the screen. The cover film is identified on the screen based on output from at least one conductive line or at least one array of conductive electrodes of the capacitive based sensor. The second set of classifier data is selected based on the identifying. A touch interaction is reported based on the second set of classifier data.

Abstract: A touch-sensing display system comprises a contactable display surface in addition to touch-screen, pupil-estimation, user-pointer, and display logic. The touch-screen logic is configured to sense normal coordinates directly behind a point of the user contact on the contactable display surface. The pupil-estimation logic is configured to estimate the vantage vector pointing from the vantage point of the user and through the point of user contact. The user-pointer logic is configured to compute adjusted coordinates of the contactable display surface, the adjusted coordinates being shifted from the normal coordinates based on the estimated vantage vector. The display logic is configured to render a visible feature on the contactable display surface at the adjusted coordinates.

Abstract: A method includes detecting a signal emitted by a stylus with a digitizer sensor, determining coordinates of the stylus, identifying a hover operational mode based on input received by the stylus, detecting a capacitive effect of a tip of the stylus on the digitizer sensor and reporting a touch operational mode of the stylus based on the capacitive effect detected. The capacitive effect of the tip of the stylus on the digitizer sensor is based on mutual capacitive detection and is performed in a defined area around the coordinates determined.

Abstract: A method including receiving an output signal from a grid based digitizer sensor to detect outputs from junctions of the sensor, identifying, based on the output signal, an area on the sensor likely to include output caused by touch of a passive pen tip, applying a maximum likelihood cost function at points within the area to identify likely coordinates of the passive tip on the digitizer sensor, and selecting most likely coordinates for the location of the passive pen tip, wherein the most likely coordinates are defined based on the output signal in the area and on a pre-defined response function, wherein the response function relates an output signal from a junction to distance of the passive tip from the junction. Related apparatus and methods are also described.

Abstract: A device includes a display, a controller configured to control the display, a sensor integrated with the display and a circuit a circuit in communication with the sensor. The sensor is configured to sense touch input and the circuit is configured to detect when a user is gripping the device only based on output from the sensor and a pre-defined model. Gripping is reported to the controller.

Abstract: A method includes sampling output from sensor having electrode junctions integrated on a device including a display, detecting capacitance between the device ground and a user (CBD) based on the output sampled and a pre-defined model, and defining one of two grounding states of the device based on the capacitance detected. Output is processed based on the grounding state defined and touch coordinates are determined based on the output processed. The touch coordinates are reported to a controller of the display.