The invention relates to systems for temperature and humidity monitoring under garments and is characterized by that it contains at least one internal electronic module located under the garment and an external electronic module with sensors for temperature and humidity monitoring, storage devices connected to the electronic modules wirelessly (for example, via Bluetooth), and the receiving device, which provides the user with the possibility to monitor the current temperature and humidity of the observed object.

Accurate measurement of pupillary distance, PD, is necessary to make prescription eye glasses as well as configuring VR headsets, and using other binocular optical devices. Today, many people are ordering eyeglasses on line and obtaining their PD is often problematic for a number of reasons as the prior art fails to provide consumer friendly PD measurement systems. A disclosed eyeglass frame system comprises reference marks of known locations upon the frames. A smart phone may be used to locate the consumer's pupils, while the consumer is wearing the frames. The consumer's pupils may be marked or tagged upon a digital image of the consumer wearing the frames. By use of angles in the sight lines of the camera lens and other variable values and the known relative distances of the frame markings, a consumer's pupillary distance can be quickly and accurately derived.

An electronic device and a method for controlling the same are provided. The electronic device includes a communicator including circuitry, a first sensor configured to detect movement information of the electronic device, a memory including a first determination module configured to determine whether a user carries the electronic device and a second determination module configured to determine a detecting method for detecting a user location, and a processor configured to identify whether a user of the electronic device carries the electronic device based on the movement information of the electronic device obtained by the first sensor by using the first determination module, and determine a detecting method for detecting location information of the user according to whether the user carries the electronic device by using the second determination module.

Disclosed are a method and apparatus for sleep monitoring, an electronic device and a computer readable medium, relating to the field of health monitoring technology, the method comprises: a screen state of a target terminal is obtained; physiological parameters of a user are obtained, the physiological parameters including at least one of body motion parameters and heart rate parameters; a sleep state of the user is determined based on the screen state and the physiological parameters. Since the screen state can reflect the user's operation of the user terminal, and the operation can further reflect the sleep state of the user, and the physiological parameters can also reflect the sleep state of the user, the combination of the screen state and the physiological parameters can make the determination of sleep state more accurate.

A method for administering an exposure treatment of a cognitive behavioral therapy (CBT) uses a mobile app and a server application. A user state of a patient undergoing a first step of the CBT based on the patient's condition during the first step is detected by sensors of the patient's smartphone. A situational state of the patient's surroundings during the first step is detected by the smartphone sensors. The mobile app determines whether the patient has made progress performing the first step. A user prompt is generated based on the user state and situational state. A next step of the CBT is configured based on the user state and situational state. The characteristics of the user prompt are generated using machine learning based on past task completions by the patient and other users so as to increase the likelihood that the patient will complete the next step of the CBT.

A system and method are provided for monitoring subject behavior during sleep onset. In some aspects, a system includes one or more sensors configured to acquire behavioral data from a subject using input provided during sleep onset. The system also includes a processor programmed to at least assemble a time-series of behavioral responses using the behavioral data acquired using the one or more sensors, and estimate an instantaneous probability of response using the time-series of behavioral responses. The processor is also programmed to generate a statistical model of wakefulness using the instantaneous probability of response, and estimate, using the model, a probability indicative of a degree to which the subject is awake at each point in time during the sleep onset process. The processor is further configured to generate a report indicative of sleep onset in the subject. The system also includes an output for displaying the report.

The present application describes a Personal Hand-Held Monitor (PHHM) of the type described in WO 2013/002165, WO 2014/125431, and International Patent Application No. PCT/EP2015/079888, with improved aspects to find indicators of health, and other improvements that facilitate its construction and calibration.

A wearable health and lifestyle device including at least a measurement module configured to be worn by a user in at least a first wearing position, the measurement module comprising a 3-axis accelerometer unit configured to provide acceleration data and inclination data, a temperature measurement unit configured to provide temperature data, a light radiation measurement unit configured to provide light radiation data, said light radiation measurement unit comprising at least one multi-spectral sensor configured to measure wavelength bands over the range 290 nm to 1150 nm, a storage module configured to receive and store said acceleration data, said inclination data, said temperature data and said light radiation data, and an analysis module configured to analyze a data set comprising acceleration data, inclination data, temperature data and light radiation data.

A display device includes a display panel including a display region and a non-display region surrounding the display region, a plurality of a light-emitting units arranged at the display region; a touch circuit connected to the display panel, and configured to detect touch information when the display panel is touched; a control circuit connected to the touch circuit and the display panel, and configured to control a corresponding light-emitting unit to emit a predetermined light beam in response to the touch information; a photosensing circuit connected to the display panel and the control circuit, and configured to sense the predetermined light beam and convert it into an electric signal; and a data processor connected to the control circuit and the display panel, and configured to process the electric signal acquired by the photosensing circuit through conversion to acquire monitoring data, and display the monitoring data on the display panel.

An overdose of opioids can cause the user to stop breathing, resulting in death. A physiological monitoring system monitors respiration based on oxygen saturation readings from a fingertip pulse oximeter in communication with a smart mobile device and sends opioid monitoring information from the smart mobile device to an opioid overdose monitoring service. The opioid overdose monitoring service notifies a first set of contacts when the opioid monitoring information.