The invention relates to a method for determining kinetosis in a vehicle user of a vehicle during at least one travel event in which at least one body part of the vehicle user is monitored, as a result of which image data are generated. Driving dynamics of the vehicle are monitored as the vehicle is being driven, as a result of which driving dynamics data are generated for every travel event while the vehicle is in motion. The image data are evaluated to determine the formation of sweat on the at least one body part of the vehicle user, as a result of which approximated electrodermal activity data are generated. The driving dynamics data are associated with the approximated electrodermal activity data, as a result of which the kinetosis of the vehicle user in at least one of the travel events is determined.

A method is presented for predicting heat stroke of a subject. The method includes an earbud covered with a waterproof moisture permeable membrane allowing for moisture penetration, the earbud including an infrared (IR) temperature sensor for measuring core body temperature of the subject, wherein the IR temperature sensor is covered with a waterproof IR transmittable film to inhibit water drops from contacting a detector of the IR temperature sensor, a first humidity sensor positioned within a sweat flow path within the earbud, a second humidity sensor positioned outside the earbud, and a sodium ion (Na.sup.+) concentration sensor for measuring hydration levels of the subject.

Provided is an information processing apparatus that is worn on a user's body for use. The information processing apparatus includes a sensor, a communication section, a control section, a power supply section, a housing section, a sticking section, and a sticking sensor. The control section controls the sensor and the communication section. The housing section accommodates the sensor, the communication section, the control section, and the power supply section. The sticking section fastens the housing section to the user. The sticking sensor detects a state of sticking between the user and the housing on the sticking section. The control section wirelessly sends a given signal to external equipment via the communication section in response to detection, by the sticking sensor, of the fact that the sticking section has peeled off from the user or is just about to peel off from the user.

Provided is a method (400) of positioning a sweat sensor device (100), the method comprising: determining (410) a first skin location (i) of a mammalian subject, which first skin location (i) contains apocrine and eccrine sweat glands; determining (420) a second skin location (ii), adjacent to the first skin location (i), and having a different sweat gland composition than the first skin location, wherein at the second skin location (ii), predominantly eccrine sweat glands are present, and wherein the determining (410, 420) of the first (i) and second (it) skin locations is achieved by detecting differences between the first (i) and second (ii) skin locations; and positioning (430) the sweat sensor device (100) such that a first part of the sweat sensor device (100) is present on the first skin location (i), while a second part of the sweat sensor device (100) is present on the second skin location (ii).

provided is an automotive key device connected, in the form of a holder, to a mechanism of opening or shutting an automotive door or merged with the mechanism of opening or shutting the automotive door. The automotive key device includes an electrocardiogram (ECG) sensor having a first body signal electrode and a second body signal electrode and a contact terminal electrically connected to the ECG sensor. The contact terminal is configured to serve as a passage for electrical connection with devices within a vehicle. A steering wheel docking station and a system configured to include the steering wheel docking station and the automotive key device are also provided.

Techniques and systems are disclosed for implementing textile-based screen-printed amperometric or potentiometric sensors. The chemical sensor can include carbon based electrodes to detect at least one of NADH, hydrogen peroxide, potassium ferrocyanide, TNT or DNT, in liquid or vapor phase. In one application, underwater presence of chemicals such as heavy metals and explosives is detected using the textile-based sensors.

The present invention relates to body fluid monitoring. It is proposed to incorporate a reagent-free calibration method into a patch or wearable. The method comprises capturing molecules of interest, i.e. calibration molecules inside the bioliquid of the patient, and release them when needed for calibration. This eliminates the need for onboard reagent storage. Because the calibration is done in the same bioliquid, any matrix effects are corrected for.

This disclosure relates to systems and methods that use contextual information relating to a user's emotions and/or moods in connection with information targeting and content tagging. In some embodiments, user moods and/or emotional states may be determined and/or otherwise inferred using certain contextual information collected using one or more sensors included in devices associated with a user. Obtaining information relating to a user's mood and/or emotional state may allow for, among other things, more efficient targeting of content, search results, and/or other information that is well matched to a user's interests at a given point in time. In further embodiments, information relating to a user's mood and/or emotional state may be used to tag and/or otherwise associate content with information relating to the user's mood and/or emotional state while viewing and/or capturing the content.

A method of distinguishing a non-epileptic seizure from an epileptic seizure in a patient, comprising: detecting a seizure in a patient based on at least one first body signal of the patient selected from an autonomic signal, a neurologic signal, a metabolic signal, an endocrine signal, and a tissue stress marker signal; analyzing at least one second body signal of the patient selected from an autonomic signal, a neurologic signal, a metabolic signal, an endocrine signal, and a tissue stress marker signal; determining, based on the analyzing, at least a first classification index comprising at least one of an epileptic seizure index and a non-epileptic seizure index; and classifying the seizure as one of a non-epileptic seizure or an epileptic seizure based on the at least a first classification index. A medical device system capable of implementing the method. A computer-readable device for storing data that, when executed, perform the method.

Systems and methods for a self-powered wireless wearable sensor system include a photovoltaic (PV) panel array, used as a power source for a wearable sensor. The PV panel array may be attached to an area of the human body exposed to a light source. Exposure to a light source may generate an electric field and power a wearable device sufficiently to support data transmission and continuous monitoring. An integrated self-powered wireless wearable sensor system may include a microfluidic sweat sensor patch that may be connected to lower-power wireless sensor circuitry for regulating power efficiently and may be powered by the PV panel array.