Unlike state of art eye blink detection techniques that are generalized for usage across individuals affecting accuracy of eye blink prediction from subject to subject, embodiments of the present disclosure provide a method and system for personalized eye blink detection using passive camera-based approach. The method first generates a subject specific annotation data, which is then further processed to derive subject specific personalized blink threshold values. The method disclosed provides three unique approaches to compute the personalized blink threshold values which is one time calibration process. The personalized blink threshold values are then used to generate a binary decision vector (D) while analyzing input test images (video sequences) of the subject of interest. Further, values taken by elements of the decision vector (D) are analyzed for a predefined time period to predict possible eye blinks of the subject.

A monitoring system for monitoring a biological subject including a monitoring device having a housing configured to be attached to or supported by an ear of the subject in use, one or more sensors, the one or more sensors including a photoplethysmogram (PPG) sensor provided in the housing and configured to measure attributes of blood flow within the ear, and a monitoring device processor configured to acquire sensors signals from the one or more sensors and generate sensor data at least partially in accordance with signals from the one or more sensors. A transmitter is provided that transmit the sensor data with one or more processing systems receiving the sensor data, analyzing the sensor data and generating a health state indicator indicative of a health state of the subject.

Vision-based stimulus monitoring and response systems and methods are presented, wherein detection, via image(s) of a patient through an external stimulus, such as a caregiver, prompts analysis of the response of the patient, via secondary patient sensors or via analysis of patient image(s), to determine an autonomic nervous system (ANS) state.

The present disclosure pertains to a wearable electronic device for the novel sensing of physiologically presented symptoms of stress corresponding to changes in a finger skin temperature biomarker.

In a configuration in which a holder holding a controller is mounted on a seat part with a plate-shaped member, the exposure of the mounting part of the plate-shaped member on which the holder is mounted is eliminated. A seat device includes a pressure sensor measuring a value relating to the seated person's state, a vibration imparting device performing a vibration imparting operation, an ECU controlling the vibration imparting device corresponding to the measurement result of the pressure sensor, a holder holding the ECU, and a mounting bracket fixed to a lower frame such that the holder is mounted on the lower frame of a seat part. The mounting bracket includes a mounting projection on which side wall of the holder is mounted in a predetermined mounting direction. When the side wall is mounted on the mounting projection, the mounting projection is covered with the side wall.

The present disclosure relates to materials and methods for evaluating acoustic startle response (ASR) and pre-pulse inhibition (PPI) in a subject. In particular, the present disclosure relates to a set of acoustic signals and their use in methods for evaluation and/or treatment of mental disorder in a subject. The methods comprise delivering a set of acoustic signals as described herein to the subject, and measuring the startle response in the subject. The startle response may be the blink reflex, pupil dilation, skin conductive response, and/or brain activity in fMRI. For example, measuring the blink reflex may involve measuring the speed, magnitude, and/or duration of the blink reflex in the subject.

An electronic device 10 includes an image-capturing unit 11, a line-of-sight detector 12, and a controller 14. The image-capturing unit 11 generates an image corresponding to the view by performing image capturing. The line-of-sight detector detects a line of sight of a subject with respect to the view. The controller 14 functions as a first estimator 15. The first estimator 15 is capable of estimating a first heat map based on the image. The controller 14 calculates the alertness level of the subject based on the first heat map and the line of sight of the subject. The first estimator 15 is constructing using learning data obtained by machine learning the relationship between a learning image and a line of sight of a training subject when an alertness level of the training subject is in a first range.

An information processing apparatus includes a behavior state detection sensor configured to detect behavior state information on a behavior state of a user; a behavior pattern information generation unit configured to generate behavior pattern information in a multidimensional space formed of coordinate axes based on the behavior state information to generate a group of spaces in each of which density of a behavior pattern information group as a collection of pieces of the behavior pattern information exceeds predetermined density; a behavior score calculation unit configured to calculate, as a behavior score, information on a size of the space including the behavior pattern information group; and a behavior pattern identification unit configured to identify, as a behavior pattern of the user, the behavior pattern information group in the space for which a value of the behavior score is equal to or larger than a predetermined value.

A device and system for promoting more recuperative sleep by regulating a user's body temperature. This may be done by using a series of devices that measure information about the user both while they are awake and while they are asleep, communicate that information to a processing unit, and create an ideal body temperature range profile based on that information. A temperature stimulus device may ensure that the core body temperature of the user stays substantially within the ideal body temperature range. By keeping the core body temperature of the user within the calculated range, the device and system will ensure deeper, and therefore more recuperative, sleep.

An apparatus for modifying alarms at a medical device for alarm fatigue management is provided and includes an alarm monitor, an alarm filter, an alarm modifier, a memory element for storing data, and a processor that executes instructions associated with the data, wherein the processor and the memory element cooperate such that the apparatus is configured for receiving an alarm condition from an alarm management engine, the alarm condition based on an alarm fatigue level of a user of the medical device, the alarm fatigue level based on at least a user fatigue model, a medical device model and a patient condition, receiving an alarm from the medical device, modifying the alarm according to the alarm condition, the alarm condition being configured to increase a likelihood of the user responding to the modified alarm, and generating an alarm indicator based on the modification.