Abstract: Mouth guard that includes a flexible printed circuit board encapsulated within a base member is provided. The flexible printed circuit board includes multiple separate stiff sections spaced apart from each other within the base member. One or more electronic devices are disposed within the base member. In particular, the one or more electronics are disposed on the base member.

Abstract: System and techniques for gesture capture are described herein. A first representation of a sensor array may be collected into a first sensor composition. The first sensor composition may be filtered to output a pose status. Here, the pose status corresponds to a pose in a library of poses. A second representation of the sensor array may be collected into a second sensor composition. A fit of the second sensor composition to a model may be measured. The fit may be provided to a gesture consumer based on the fit and the pose.

Abstract: Mouth guard that includes a flexible printed circuit board encapsulated within a base member is provided. The flexible printed circuit board includes multiple separate stiff sections spaced apart from each other within the base member. One or more electronic devices are disposed within the base member. In particular, the one or more electronics are disposed on the base member.

Abstract: System and techniques for gesture capture are described herein. A first representation of a sensor array may be collected into a first sensor composition. The first sensor composition may be filtered to output a pose status. Here, the pose status corresponds to a pose in a library of poses. A second representation of the sensor array may be collected into a second sensor composition. A fit of the second sensor composition to a model may be measured. The fit may be provided to a gesture consumer based on the fit and the pose.

Abstract: Embodiments of the disclosure are directed to systems, methods, and devices for monitoring inertial data from a player swinging a piece of sports equipment. In embodiments, a monitoring device for monitoring swing metrics. The monitoring device includes an inertial measurement unit (IMU) implemented at least partially in hardware to sense inertial data corresponding to a swing of a piece of sports equipment; a processor implemented at least partially in hardware to extrapolate, based on the inertial data, one or more swing parameters associated with the swing of the piece of sports equipment; and a transceiver implemented at least partially in hardware to transmit the one or more swing parameters to a remote device across a wireless connection.

Abstract: The present disclosure includes a method of recharging a smart-charging clothing. The method comprises inserting a smart-charging clothing into a holder; storing the holder in an enclosure; connecting the smart-charging clothing to a recharging interface; recharging the smart-charging clothing using the recharging interface; removing the holder from the enclosure; and removing the smart-charging clothing from the holder.

Abstract: Systems and techniques for a sensor network for trick classification are described herein. A first data stream may be received from a first sensor array affixed to a first free-moving body of a sporting device. A second data stream may be received from a second sensor array affixed to a second free-moving body of the sporting device. A trick region of a predetermined length of the first data stream corresponding with an occurrence of a trick may be determined using data from the first data stream. The trick may be classified using a first set of data from the first data stream corresponding with the trick region and a second set of data from the second data stream. The second set of data may be obtained by aligning the trick region of the first data stream with the second data stream.

Abstract: A system for skydiving trajectory and coordination feedback for a user. The system includes a controller coupled to a plurality of sensor inputs. The controller determines a user drag through air based on input data from the plurality of sensor inputs. The controller also receives a user flightpath and determines a projected user trajectory based on the user drag. The controller also determines user drag adjustments to align the projected user trajectory with the received user flightpath. At least one of an aural, haptic, or visual feedback device is coupled to the controller to provide feedback to the user in response to the user drag adjustments.

Abstract: Systems and techniques for accelerated pattern matching in action sports are described herein. A plurality of data sets may be collected from a data stream received from a sensor array. Each data set of the plurality of data sets may be compressed into a magnitude value. A first mean and a first standard deviation may be determined for a first set of magnitude values corresponding to a first time period. A second mean and a second standard deviation may be determined for a second set of magnitude values corresponding to a second time period. A mean ratio may be calculated for the first mean and the second mean and a standard deviation ratio may be calculated for the first standard deviation and the second standard deviation. A start point for an action may be generated by determining that the mean ratio and the standard deviation ratio are outside a threshold.

Abstract: Systems and techniques for predictive classification in action sports are described herein. A start point for an action may be identified in a data stream including a plurality of data sets corresponding to the action. The data stream may be collected from a sensor array. Action performance features may be extracted from the data stream subsequent to the start point. The action performance features may be compared in real-time to a set of statistical models. A label may be selected for the action based on the comparison. A likelihood of success may be generated for the action based on the comparison. The label for the action and the likelihood of success may be output for display on a display device.

Abstract: A system for skydiving trajectory and coordination feedback for a user. The system includes a controller coupled to a plurality of sensor inputs. The controller determines a user drag through air based on input data from the plurality of sensor inputs. The controller also receives a user flightpath and determines a projected user trajectory based on the user drag. The controller also determines user drag adjustments to align the projected user trajectory with the received user flightpath. At least one of an aural, haptic, or visual feedback device is coupled to the controller to provide feedback to the user in response to the user drag adjustments.

Abstract: Various systems and methods for implementing crowd gesture recognition are described herein. A system for implementing crowd gesture recognition includes an accelerometer; a gyrometer; a gesture detection circuit to: detect an air gesture performed by a user of the system based on data from the accelerometer and gyrometer; and parameterize an intensity of the air gesture; a processor subsystem to determine a transmission frequency band and a transmission strength based on the air gesture and the intensity of the air gesture; and a transducer to transmit a signal on the transmission frequency band with the transmission strength.

Abstract: Systems and techniques for a sensor network for trick classification are described herein. A first data stream may be received from a first sensor array affixed to a first free-moving body of a sporting device. A second data stream may be received from a second sensor array affixed to a second free-moving body of the sporting device. A trick region of a predetermined length of the first data stream corresponding with an occurrence of a trick may be determined using data from the first data stream. The trick may be classified using a first set of data from the first data stream corresponding with the trick region and a second set of data from the second data stream.