A method of classifying a mental state of a user using a computing device, which includes a microphone, a camera, a display, a wireless communication unit, and a processor, and a mental state classification server is provided. The method comprises: by the microphone, detecting ambient noise of the user; by the camera, generating an image by photographing a face of the user; by the processor, checking whether each of ambient noise of the user, ambient brightness of the face of the user obtained from the image, and a face position of the user obtained from the image is suitable for a heart rate variability measurement environment; by the processor, controlling to display on the display images indicating whether each of the ambient noise, the ambient brightness, and the face position is suitable for the heart rate variability.

Disclosed herein are apparatuses for manipulation of an ear device within the ear canal of a subject. Also disclosed herein are methods of using said apparatuses for the insertion, removal, or other manipulations of the ear device. Also disclosed herein are methods of making the apparatuses, and kits containing the apparatus with instructions for use.

Various embodiments of a user-wearable device can comprise a frame configured to mount on a user. The device can include a display attached to the frame and configured to direct virtual images to an eye of the user. The device can also include a light source configured to provide polarized light to the eye of the user and that the polarized light is configured to reflect from the eye of the user. The device can further include a light analyzer configured to determine a polarization angle rotation of the reflected light from the eye of the user such that a glucose level of the user can be determined based at least in part on the polarization angle rotation of the reflected light.

A child safety seat checking system for a child safety seat of a vehicle, in particular a motor vehicle, is comprised of at least one child safety seat, a first checking device for checking whether a child is located in the child safety seat, and a second checking device for checking whether a person supervising the child is present, wherein the second checking device is designed to operate in an at least partly portable manner in an operating state of the child safety seat checking system and/or is designed to operate regardless of an on/off state of the vehicle.

A child safety seat checking system for a child safety seat of a vehicle, in particular a motor vehicle, is comprised of at least one child safety seat, a first checking device for checking whether a child is located in the child safety seat, and a second checking device for checking whether a person supervising the child is present, wherein the second checking device is designed to operate in an at least partly portable manner in an operating state of the child safety seat checking system and/or is designed to operate regardless of an on/off state of the vehicle.

A method and apparatus for monitoring a human or animal subject in a room using video imaging of the subject and analysis of the video image to detect and quantify movement of the subject and to derive an estimate of vital signs such as heart rate or breathing rate. The method includes techniques for de-correlating global intensity variations such as sunlight changes, compensating for noise, eliminating areas not of interest in the image, and quickly and automatically finding regions of interest for detecting subject movement and estimating vital signs. A logic machine is used for interpreting detected movement of the subject, and an artificial neural network is used to calculate a confidence measure for the vital signs estimates from signal quality indices. The confidence measure may be used with a normal density filter to output estimates of the vital signs.

An energy balancing system scales portion sizes of user-selected meal recipes to control a digital scale to prompt the user to measure scaled quantities of meal ingredients to prepare scaled meals. Physical activity tracking devices provide data to generate physical activity energy expenditures for energy burned by physical activity. The physical activity energy is added to a basal metabolic rate of energy expenditure that is a function of sex, weight, height, and age. The total energy expended are scaled down for a weight-loss goal to obtain the total recommended energy. A recipe portion-size optimizer adjusts scaling factors for each recipe so that the total recommended energy is met by the scaled meals. Amounts of nutrients for the recipes can also be scaled by the scaling factors to match recommended nutrient amounts when the meal recipe optimizer generates the scaling factors using an over-determined linear system optimizer.

An energy balancing system scales portion sizes of user-selected meal recipes to control a digital scale to prompt the user to measure scaled quantities of meal ingredients to prepare scaled meals. Physical activity tracking devices provide data to generate physical activity energy expenditures for energy burned by physical activity. The physical activity energy is added to a basal metabolic rate of energy expenditure that is a function of sex, weight, height, and age. The total energy expended are scaled down for a weight-loss goal to obtain the total recommended energy. A recipe portion-size optimizer adjusts scaling factors for each recipe so that the total recommended energy is met by the scaled meals. Amounts of nutrients for the recipes can also be scaled by the scaling factors to match recommended nutrient amounts when the meal recipe optimizer generates the scaling factors using an over-determined linear system optimizer.

A device may include a sensor window. The sensor window may include a substrate. The sensor window may include a set of layers disposed onto the substrate. The set of layers may include a first subset of layers of a first refractive index and a second set of layers of a second refractive index different from the first refractive index. The set of layers may be associated with a threshold transmissivity in a sensing spectral range, and may be configured to a particular color in a visible spectral range and associated with a threshold opacity in the visible spectral range. The device may include a spectral sensor device aligned to the sensor window and including at least one sensor element to receive light in the sensing spectral range and provide a plurality of sensing functionalities based on at least one measurement of the light in the sensing spectral range.

Disclosed is an electronic device comprising a processor and at least one sensor circuit comprising at least a biometric sensor and a fatigue sensor. The processor may be configured so as to detect biometric data of an external object by means of the biometric sensor, detect fatigue data of the external object by means of the fatigue sensor if the biometric data exceeds a designated second range, and output, by means of a designated external device, a fatigue notification indicating a fatigued state if the fatigue data exceeds a designated third range. Other various embodiments identified in the description are possible.