Abstract: This document describes techniques and systems that enable radar-based gesture enhancement for voice interfaces. The techniques and systems use a radar field to accurately determine three-dimensional (3D) gestures that can be used instead of, or in combination with, a voice interface to enhance interactions with voice-controllable electronic devices. These techniques allow the user to make 3D gestures from a distance to provide a voice input trigger (e.g., a “listen” gesture), interrupt and correct inaccurate actions by the voice interface, and make natural and precise adjustments to functions controlled by voice commands.

Abstract: A removable electronics device and related pre-fabricated sensor assemblies having different sensor layouts are provided. The removable electronics module includes one or more processors, an inertial measurement unit, a first communication interface configured to communicatively couple the removable electronics device to one or more computing devices, a second communication interface configured to communicatively couple the removable electronics device to a plurality of pre-fabricated sensor assemblies, and a housing at least partially enclosing the processor, the inertial measurement unit, the first communication interface, and the second communication interface. The housing includes a first opening in at least one longitudinal surface and adjacent to at least a portion of the first communication interface and a plurality of second openings in a lower surface and adjacent to the plurality of contact pads of the second communication interface.

Abstract: This document describes techniques and devices for occluded gesture recognition. Through use of the techniques and devices described herein, users may control their devices even when a user's gesture is occluded by some material between the user's hands and the device itself. Thus, the techniques enable users to control their mobile devices in many situations in which control is desired but conventional techniques do permit effective control, such as when a user's mobile computing device is occluded by being in a purse, bag, pocket, or even in another room.

Abstract: Gesture detection and interaction techniques are described. Object detection used to support the gestures may be accomplished in a variety of ways, such as by using radio waves as part of a radar technique. In a first example, the techniques are implemented such that one hand of a user sets a context for a gesture that is defined by another hand of the user. In another example, a gesture recognition mode is utilized. In yet another example, detection of distance is used such that the same motions may be used to different between operations performed. In a further example, split gestures are supported. In another instance, entry into a gesture recognition mode may be implemented through touch and then recognized through three-dimensional orientation and motion of that hand or another.

Abstract: This document describes techniques and systems that enable a smartphone-based radar system facilitating ease and accuracy of user interactions with a user interface. The techniques and systems can be implemented in an electronic device, such as a smartphone, and use a radar field to accurately determine three-dimensional (3D) gestures that can be used in combination with other inputs, such as touch or voice inputs, to interact with the user interface. These techniques allow the user to make 3D gestures from a distance—and enable seamless integration of touch and voice commands with 3D gestures to improve functionality and user enjoyment.

Abstract: This document describes techniques and systems that enable a smartphone-based radar system for facilitating awareness of user presence and orientation. The techniques and systems use a radar field to accurately determine a user's location and physical orientation with respect to an electronic device, such as a smartphone. The radar field also enables the device to receive 3D gestures from the user to interact with the device. The techniques allow the device to provide functionality based on the user's presence and orientation, and to appropriately adjust the timing, content, and format of the device's interactions with the user.

Abstract: Techniques and devices for seamless authentication using radar are described. In some implementations, a radar field is provided through a radar-based authentication system. The radar-based authentication system can sense reflections from an object in the radar field and analyze the reflections to determine whether the object is a person. In response to determining that the object is a person, the radar-based authentication system can sense an identifying characteristic associated with the person. Based on the identifying characteristic, the radar-based authentication system can determine that the person is an authorized user.

Abstract: A removable electronics device for pre-fabricated sensor assemblies of interactive objects is provided. The removable electronics device includes one or more processors, a first communication interface configured to communicatively couple with one or more remote computing devices, and a second communication interface configured to communicatively couple with a plurality of pre-fabricated sensor assemblies having touch sensors with different sensor layouts. The removable electronics module can analyze, in response to being physically coupled to a first pre-fabricated sensor assembly, first touch data to detect one or more pre-defined motions based on one or more first pre-defined parameters associated with the first touch sensor. The removable electronics module can analyze, in response to being physically coupled to a second pre-fabricated sensor assembly, second touch data to detect the one or more pre-defined motions based on one or more second pre-defined parameters associated with the second touch sensor.

Abstract: Techniques are described herein that enable advanced gaming and virtual reality control using radar. These techniques enable small motions and displacements to be tracked, even in the millimeter or submillimeter scale, for user control actions even when those actions are optically occluded or obscured.

Abstract: Systems and techniques are described for robust radar-based gesture-recognition. A radar system (104) detects radar-based gestures on behalf of application subscribers. A state machine (2000) transitions between multiple states based on inertial sensor data. A no-gating state (2002) enables the radar system (104) to output radar-based gestures to application subscribers. The state machine (2000) also includes a soft-gating state (2004) that prevents the radar system (104) from outputting the radar-based gestures to the application subscribers. A hard-gating state (2006) prevents the radar system (104) from detecting radar-based gestures altogether. The techniques and systems enable the radar system (104) to determine when not to perform gesture-recognition, enabling user equipment (102) to automatically reconfigure the radar system (104) to meet user demand.

Abstract: This document describes techniques and systems that enable a smartphone-based radar system for determining user intention in a lower-power mode. The techniques and systems use a radar field to enable the smartphone to accurately determine the presence or absence of a user and further determine the intention of the user to interact with the smartphone. Using these techniques, the smartphone can account for the user's nonverbal communication cues to determine and maintain an awareness of users in its environment, and only respond to direct interactions once a user has demonstrated an intention to interact, which preserves battery power. The smartphone may determine the user's intention by recognizing various cues from the user, such as a change in position relative to the smartphone, a change in posture, or by an explicit action, such as a gesture.

Abstract: Embodiments of the disclosed technology are directed to classifying motion data collected by wearable sensors. Motion data collected by a first wearable motion sensor and a second wearable motion sensor during the performance of an activity can be obtained. The motion data from the first wearable motion sensor can include data associated with one or more first motion primitives and the second motion data collected by the second wearable motion sensor can include data associated with one or more second motion primitives. The first motion data and the second motion data can be synchronized based at least in part on time stamp information. Data associated with a signature motion classification associated with the activity can be determined based at least in part on the one or more first motion primitives and the one or more second motion primitives.

Abstract: This document describes techniques and systems that enable radar-based gesture enhancement for voice interfaces. The techniques and systems use a radar field to accurately determine three-dimensional (3D) gestures that can be used instead of, or in combination with, a voice interface to enhance interactions with voice-controllable electronic devices. These techniques allow the user to make 3D gestures from a distance to provide a voice input trigger (e.g., a “listen” gesture), interrupt and correct inaccurate actions by the voice interface, and make natural and precise adjustments to functions controlled by voice commands.

Abstract: This document describes techniques and systems that enable radar-based authentication status feedback. A radar field is used to enable an electronic device to account for the user's distal physical cues to determine and maintain an awareness of the user's location and movements around the device. This awareness allows the device to anticipate some of the user's intended interactions and provide functionality in a timely and seamless manner, such as preparing an authentication system to authenticate the user before the user touches or speaks to the device. These features also allow the device to provide visual feedback that can help the user understand that the device is aware of the user's location and movements. In some cases, the feedback is provided using visual elements presented on a display.

Abstract: This document describes techniques for radio frequency (RF) based micro-motion tracking. These techniques enable even millimeter-scale hand motions to be tracked. To do so, radar signals are used from radar systems that, with conventional techniques, would only permit resolutions of a centimeter or more.

Abstract: This document describes techniques and systems that enable a mobile device-based radar system for applying different power modes to a multi-mode interface. The techniques and systems include a user device having a radar system, and an interaction manager. The radar system generates a radar field, provides radar data, and operates at one of various different radar-power states. The user device analyzes the radar data to detect a presence or movement of a user within the radar field. Responsive to the detection, the radar system changes from a first radar-power state to a second radar-power state. Based on this change, the interaction manager selects a power mode, for a multi-mode interface, that corresponds to the second radar-power state, and applies the selected power mode to the multi-mode interface to provide a corresponding display via a display device.

Abstract: Various embodiments wirelessly detect micro gestures using multiple antenna of a gesture sensor device. At times, the gesture sensor device transmits multiple outgoing radio frequency (RF) signals, each outgoing RF signal transmitted via a respective antenna of the gesture sensor device. The outgoing RF signals are configured to help capture information that can be used to identify micro-gestures performed by a hand. The gesture sensor device captures incoming RF signals generated by the outgoing RF signals reflecting off of the hand, and then analyzes the incoming RF signals to identify the micro-gesture.

Abstract: This document describes techniques and systems that enable a smartphone providing radar-based proxemic context. The techniques and systems use a radar field to accurately determine a user's location and/or physical orientation with respect to an electronic device, such as a smartphone. The radar field also enables the device to receive 3D gestures from the user to interact with the device. The techniques allow the device to provide functionality based on the user's presence and/or orientation, and to appropriately adjust the timing, content, and format of the device's interactions with the user.

Abstract: Techniques and apparatuses are described that implement a smart-device-based radar system capable of performing angular estimation using machine learning. In particular, a radar system 102 includes an angle-estimation module 504 that employs machine learning to estimate an angular position of one or more objects (e.g., users). By analyzing an irregular shape of the radar system 102's spatial response across a wide field of view, the angle-estimation module 504 can resolve angular ambiguities that may be present based on the angle to the object or based on a design of the radar system 102 to correctly identify the angular position of the object. Using machine-learning techniques, the radar system 102 can achieve a high probability of detection and a low false-alarm rate for a variety of different antenna element spacings and frequencies.

Abstract: Systems and methods of capturing images are disclosed. For instance, a plurality of position signals associated with a mobile computing device can be received, the plurality of position signals can be obtained at least in part using one or more sensors implemented within the mobile computing device. A relative motion between the mobile computing device and a scattering point associated with a target can be determined. A plurality of return signals reflected from the scattering point can be received. Each return signal can correspond to a pulse transmitted by the mobile computing device. A target response associated with the scattering point can be determined based at least in part on the relative motion between the mobile computing device and the scattering point.