A system for evaluating a posture of a user operating a computing device can include one or more processors, a sensor suite configured to generate sensor data corresponding to a three-dimensional (3D) orientation of a user's body, and one or more machine-readable, non-transitory storage mediums that include instructions configured to cause the one or more processors to perform operations including: estimating the user's posture based on the sensor data from the sensor suite; receiving application data corresponding to an application that the user is interfacing with on the computing device; and generating a classification of the user's posture based on a comparison of the estimated posture with a plurality of posture types. The performed operations may further include determining a recommendation to modify and improve the user's posture based on the classification and the application data and generating a user-accessible output that corresponds to the recommendation.

A monitoring system for a patient fall risk protocol includes a support apparatus that includes a sensor configured to sense a position of a patient. A control unit is in communication with the sensor. The control unit is configured to monitor the position of the patient relative to a monitoring area on the support apparatus. The control unit is configured to determine a preliminary risk evaluation. A controller is in communication with the support apparatus. The controller is configured to receive the preliminary risk evaluation from the support apparatus and adjust a monitoring level of the monitoring area in response to the preliminary risk evaluation.

A diagnosis system and method for detecting various Volatile Organic Compounds (VOCs) in a biological sample by utilizing a smart platform configured to harness animal bio-sensors trained to detect various VOC's which may indicate various pathologies, and by conducting various data collection practices and analysis methods in order to produce output results. The diagnosis system and method is configured to analyze behavioral parameters concerning the animal bio-sensor and provide a non-invasive and safe diagnostic solution that does not involve exposing a patient to radiation or any other potentially harmful procedure.

An assistance method for assisting a person in grasping or otherwise manipulating an object includes receiving video of a hand of the person and of an object. An intent to grasp the object is identified based on proximity of the hand to the object in the video or as measured by a proximity sensor, or using gaze tracking, or based on measured neural activity of the person. The object and the hand in the video are analyzed to determine an object grasping action for grasping or otherwise manipulating the object. An actuator is controlled to cause the hand to perform the determined hand action for grasping or otherwise manipulating the object.

A method includes providing one or more instructions to perform a first action associated with administration of a medication; obtaining first data representing a capture of a patient performing the first action based on the one or more instructions; extracting information about movements of the patient from the first data; presenting an image configured to induce an emotional response in the patient; obtaining second data representing capture of the patient performing one or more microexpressions within 250 milliseconds of presentation of the image; obtaining additional data including one or more of demographic information of the patient, information of a disease associated with the patient, or one or more characteristics of the medication; and based on the extracted information about the movements, the one or more microexpressions, and the additional data, determining a medical outcome including a progression of the disease in the patient.

An alcohol level detection device capable of detecting an alcohol level of a driver, includes a thermal camera mounted near a driver seat and to detect a body temperature of the driver, a contact electrocardiogram sensor disposed on a steering wheel steered by the driver and to detect an electrocardiogram waveform and a heart rate of the driver, a non-contact gas detection sensor disposed on a grip of the steering wheel and to detect an alcohol component contained in a gas discharged from a skin of the driver without contact with the skin, and a determination circuit which determine the alcohol level of the driver based on a measurement value of the body temperature detected by the thermal camera, measurement values of the electrocardiogram waveform and the heart rate detected by the contact electrocardiogram sensor, and a value of the alcohol component detected by the gas detection sensor.

A sleepiness prediction system includes a lifelog obtainer, a route information obtainer, and a sleepiness predictor. The lifelog obtainer obtains a lifelog including at least a get-up time of an occupant of a vehicle and a boarding time at which the occupant boards the vehicle. The route information obtainer obtains route information regarding a route to a destination of the vehicle. The sleepiness predictor predicts a sleepiness level of the occupant while the occupant is in the vehicle, based on the lifelog and the route information.

A system for monitoring and analyzing impact data to determine consciousness level and injuries, comprising: impact event monitoring device monitors impact event that occurs to first end-user, impact event monitoring device integrated into objects; impact event monitoring device collects impact data of objects, first end-user using sensors, impact sensing unit, motion detection unit, GPS module, image capturing unit; network module send impact data to impact event monitoring and analyzing module, impact event monitoring and analyzing module convert impact data into Yaw, Pitch and Roll data, impact event monitoring and analyzing module analyze Yaw, Pitch and Roll data with machine learning techniques and deep learning techniques; impact event monitoring and analyzing module report and send emergency notifications to second computing device, impact data accessing module enable second end-user to examine location and intensity of impact event to understand consciousness level and injuries for providing better treatment to first end-user.

A system is disclosed herein for providing a kinetic assessment and preparation of a prosthetic joint comprising one or more prosthetic components. The system comprises a prosthetic component including sensors and circuitry configured to measure load, position of load on a curved surface, joint stability, range of motion, and impingement. In one embodiment, the system is for a ball and socket joint of a musculoskeletal system. The system further includes a computer having a display configured to graphical display quantitative measurement data to support rapid assimilation of the information. The kinetic assessment measures joint alignment under loading that will be similar to that of a final joint installation. The kinetic assessment can use trial or permanent prosthetic components. Furthermore, adjustments can be made to the applied load magnitude, position of load, and joint alignment by various means to fine-tune an installation.

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.