A system comprises an authentication sub-system configured to authenticate a user and a biochemical analysis sub-system configured to perform a biochemical analysis on a biological sample provided to the biochemical analysis sub-system. The system is configured to authenticate a user using the authentication sub-system, instruct an authenticated user to provide a biological sample to the biochemical analysis sub-system, execute a biochemical analysis on a provided biological sample.

A method and system may use machine learning analysis of audio data to automatically identify a user's biometric characteristics. A user's client computing device may capture audio of the user. Feature data may be extracted from the audio and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.

The present invention relates to a computer-implemented method for capturing a feature of interest observed by a passenger of a vehicle, comprising detecting an excited level of the passenger’s interest based on passenger data generated by monitoring the passenger of the vehicle, thereby generating an interest event; extracting a gaze direction of the passenger relating to the interest event based on the passenger data; and extracting environmental data, generated by monitoring an environment of the vehicle, that relate to the interest event and to the gaze direction, thereby generating partial feature data for the feature of interest observed by the passenger. The present invention further relates to a computer system configured to execute the computer-implemented method for capturing a feature of interest observed by a passenger of a vehicle.

A method, system and mobile device can be used by a subject in diagnosing a disease or virus or other illness. The system can capture and analyze olfactory information providing a diagnosis based on the olfactory information. The system can also capture and output biometric data corresponding to the subject and can further include at least one camera or video sensor that can result in a diagnosis or a microphone or other acoustic sensor that can result in another diagnosis. Other sensors providing other corresponding diagnoses can be included. A sensor fusion component can receive and combine the biometric data and the various diagnoses results and further determine a confidence score. An event record creator compiles the biometric data and the confidence scores to create an event record having a higher confidence score with respect to a final diagnosis result. A data storage device stores the event record.

An adaptable climate control method for controlling a thermal climate within a confined space based on thermal and/or physiological features of one or more occupants of the confined space is provided. The method includes receiving thermal images of a plurality of target areas from the occupants, identifying a plurality of interesting points of the received thermal images, and isolating the interesting points to construct thermal maps of the target areas. Thermal features of the occupants are determined using the respective thermal maps and the thermal features are used to construct thermal feature vectors for the occupants. Physiological features from physiological sensors can also be added as elements of the thermal feature vectors to form integrated vectors. The thermal feature vectors and/or integrated vectors are classified using a classifiers and at least a portion of the thermal climate of the confined space is adjusted based on the classification of the vectors.

Aspects of the disclosure relate to physiological sensor-based monitoring and control systems. A computing device may determine a physiological measurement. Then, the computing device may compare the physiological measurement with one or more baseline values to determine whether the physiological measurement is anomalous with respect to the one or more baseline values. When the physiological measurement is determined to be anomalous with respect to the one or more baseline values, the computing device may execute access control on a device to prevent access by a user to one or more systems, applications, resources, or the like.

The disclosure is related configuring a vehicle according to a user profile, where an individual user profile can be selected from a registry containing one or more user profiles using electroencephalogram (EEG). An additional biometric, such as gait, can also be used. The user profiles can include a variety of the user preferences, such as the preferred climate, seat settings, mode of payment, route to take, and more. A mobile device can also be used to add a layer of security and privacy, where the mobile device has sole access to the user's user profile.

Systems and methods are provided for determining when to cease capturing video via a head-worn wearable device. The method includes capturing, via a head-worn wearable device that includes a camera, video data. The method further includes, while capturing the video data, monitoring sensor data indicating one or both of (i) a position of the head-worn wearable device and (ii) a position of a wrist-wearable device that is communicatively coupled with the head-worn device to determine when to cease capturing the video data. The method further includes, in accordance with a determination that at least some of the sensor data indicates that one or both of (i) a video-capturing precondition is not present at the head-worn wearable device and (ii) a video-viewing precondition is present at the wrist-wearable device, ceasing to capture the video data and causing the video data to be displayed on a display of the wrist-wearable device.

Disclosure related to a system for detecting and reducing false calls from nearby objects in self-driving vehicles. Further, the system comprising at least one camera device having at least two lenses attached on an outside of a self-driving vehicle. The camera device configured to capture images of nearby objects, one or more sensors selected from the group consisting of a LIDAR, a SONAR, a gyroscope and an accelerometer coupled to the at least one camera device. A communication unit for communicating image data along with sensor data to a processing unit. The processing unit receives data from the camera device and the one or more sensors, and detect a true presence of an object and a true direction of the object. One lens of the camera device confirms an image captured by the other lens of the camera device through a deep learning based image data filtering technique.

Systems and methods are provided to monitor vital signs from a plurality of subjects simultaneously and in real-time. The systems and methods can utilize visible video signal or infrared (IR) video signals, or both, defining respective sequences of frames representative of a scene including the plurality of subjects. The systems and methods can analyze digital images corresponding to respective frames in a sequence of frames to generate a time series of image values. In an aspect, the systems and methods can analyze the time series to identify a characteristic frequency representing a value of a vital signal that is oscillatory in nature.