Abstract: Systems and methods for measuring hemodynamic parameters with wearable cardiovascular sensing. An apparatus can include one or more sensors configured to measure an electrocardiogram signal of a user and one or more seismocardiogram (SCG) signals of the user, a memory and a processing system including one or more processors operatively coupled to the memory and the one or more sensors, and configured to receive the electrocardiogram and one or more SCG signals, and generate an assessment of heart health by determining one or more hemodynamic parameters based on the signals. The invention further includes a method for non-invasively monitoring heart health of a user including receiving an electrocardiogram signal from a first sensor of a wearable device, receiving one or more SCG signals from a second sensor of the wearable device, and generating the assessment of the heart health of the user by determining the one or more hemodynamic parameters.

Abstract: Techniques are generally described for object detection in image data. First image data comprising a three-dimensional model representing an object may be received. First background image data comprising a first plurality of pixel values may be received. A first feature vector representing the three-dimensional model may be generated. A second feature vector representing the first plurality of pixel values of the first background image data may be generated. A first machine learning model may generate a transformed representation of the three-dimensional model using the first feature vector. First foreground image data comprising a two-dimensional representation of the transformed representation of the three-dimensional model may be generated. A frame of composite image data may be generated by combining the first foreground image data with the first background image data.

Abstract: A method for determining a disease state transition path includes receiving a patient data having functional data and/or structural data related to a patient. Based on the patient data, a first disease state of a plurality of non-overlapping disease states each associated with a predetermined range of functional and/or structural degeneration values may be identified. A second, non-adjacent disease state of the plurality of disease states may be identified based on the patient data. A most probable path between the first disease state and the second disease state may be determined using a two dimensional continuous-time hidden Markov model.

Abstract: Techniques are generally described for object detection in image data. First image data comprising a three-dimensional model representing an object may be received. First background image data comprising a first plurality of pixel values may be received. A first feature vector representing the three-dimensional model may be generated. A second feature vector representing the first plurality of pixel values of the first background image data may be generated. A first machine learning model may generate a transformed representation of the three-dimensional model using the first feature vector. First foreground image data comprising a two-dimensional representation of the transformed representation of the three-dimensional model may be generated. A frame of composite image data may be generated by combining the first foreground image data with the first background image data.

Abstract: Techniques are generally described for object detection in image data. First image data comprising a first plurality of pixel values representing an object and a second plurality of pixel values representing a background may be received. First foreground image data and first background image data may be generated from the first image data. A first feature vector representing the first plurality of pixel values may be generated. A second feature vector representing a first plurality of pixel values of second background image data may be generated. A first machine learning model may determine a first operation to perform on the first foreground image data. A transformed representation of the first foreground image data may be generated by performing the first operation on the first foreground image data. Composite image data may be generated by compositing the transformed representation of the first foreground image data with the second background image data.

Abstract: An autonomous vehicle research system includes a vehicle having an attached frame and an engine. A sensing, control and data logging unit, mounted on the frame and in control communication with the engine senses vehicle operational parameters, controls the engine and to steering, and transmits operational data and log operational data. An operator control unit in communication with the sensing, control and data logging unit receives operational data from the sensing, control and data logging unit and presents visual real time display of the operational data. The operator control unit includes a manual cut-off switch that causes the engine to cease moving the vehicle. A remote control unit is manually switchable between a remote control mode and an autonomous control mode. In the remote control mode, the user controls the vehicle remotely. In the autonomous mode, the sensing, control and data logging unit controls the vehicle autonomously.

Abstract: An autonomous vehicle research system includes a vehicle having an attached frame and an engine. A sensing, control and data logging unit, mounted on the frame and in control communication with the engine senses vehicle operational parameters, controls the engine and to steering, and transmits operational data and log operational data. An operator control unit in communication with the sensing, control and data logging unit receives operational data from the sensing, control and data logging unit and presents visual real time display of the operational data. The operator control unit includes a manual cut-off switch that causes the engine to cease moving the vehicle. A remote control unit is manually switchable between a remote control mode and an autonomous control mode. In the remote control mode, the user controls the vehicle remotely. In the autonomous mode, the sensing, control and data logging unit controls the vehicle autonomously.

Abstract: A method for determining a disease state transition path includes receiving a patient data having functional data and/or structural data related to a patient. Based on the patient data, a first disease state of a plurality of non-overlapping disease states each associated with a predetermined range of functional and/or structural degeneration values may be identified. A second, non-adjacent disease state of the plurality of disease states may be identified based on the patient data. A most probable path between the first disease state and the second disease state may be determined using a two dimensional continuous-time hidden Markov model.

Abstract: A system and method for providing a plurality of frames from a video, the video having been taken from a first person's perspective, identifying patterns of attention depicted by living beings appearing in the plurality of frames, identifying social interactions associated with the plurality of frames using the identified patterns of attention over a period of time and using the identified social interactions to affect the subsequent use, storage, presentation, or processing of the plurality of frames.

Abstract: In illustrative implementations, a gyroscope, an accelerometer and a camera gather sensor data indicative of motion of a human head. The gyroscope, accelerometer and camera are each housed in, or attached to, headwear that is worn on the head. In some cases, the headwear comprises a headband, hat, cap, or structure similar to an eyeglasses frame. A computer takes the sensor data as input and calculates a heart rate and respiration rate of the human. In some cases, a computer also calculates heart rate variability. The head motion being measured is caused by forces that are transmitted, at least in part, from the chest, through the neck, and to the head. This head motion is caused, at least in part, by respiration, by heart beats, or by blood flow caused by the heart beats.

Abstract: A system and method for providing a plurality of frames from a video, the video having been taken from a first person's perspective, identifying patterns of attention depicted by living beings appearing in the plurality of frames, identifying social interactions associated with the plurality of frames using the identified patterns of attention over a period of time and using the identified social interactions to affect the subsequent use, storage, presentation, or processing of the plurality of frames.

Abstract: A static schedule is selected from a set of static schedules for an application dependent on the state of the application. A scheduling system stores a set of pre-defined static schedules for each state of the application. A scheduling system learns the costs of predefined schedules for each state of the application on-line as the application executes. Upon the detection of a state change in the application during run-time, the scheduling system selects a new static schedule for the application. The new static schedule is determined based on schedule costs and exploration criteria.