Technology is disclosed for detecting scratch events and predicting flares of pruritus, utilizing motion data sensed from a wearable sensor. Detecting scratch may be done with a two-tier approach by first detecting a hand motion from motion sensed data and then classifying that hand motion as a scratch event using one or more computerized classification models. Embodiments may focus on detecting nighttime scratch by utilizing motion sensed data captured during a user's detected sleep opportunity. Additionally, historical scratch event data may be used to predict a user's itch and flare risk for a future time interval. Decision support tools in the form of computer applications or services may utilize the detected scratch events or predicted itch or flare risk to initiate an action for reducing current itch and/or mitigating future risk, including initiating a treatment protocol that includes therapeutic agent.

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.

A method for human action recognition in a human-machine interactive assembly scene is disclosed in this application, joint coordinate streams of skeleton joints are obtained under a human action from motion sensing devices; a starting position and an ending position of the action are positioned according to data change based on a threshold value to obtain information of joints; resampling of angle change is made on the information of joints to obtain coordinates of joints; the coordinates of joints are normalized, to obtain a sequence of skeletons forming an action; obtaining a vector direction of the upper limb, and the scene is classified to be a left-hand scene or a right-hand scene; training is made for human action recognition in the left-hand scene and the right-hand scene respectively; human action outputs of the left-hand scene and the right-hand scene are fused to realize action recognition in a human-machine interaction scene.

A method of updating a protocol for a Virtual Reality (VR) medical test via a user device having a processor, the VR medical test being performed on a subject via a VR device worn by the subject, wherein the method is performed by the processor and the method comprises: displaying GUI elements associated with the protocol on the user device, the GUI elements having user adjustable settings for modifying a functioning of the VR medical test; receiving a selection input from the user device corresponding to a selection of the GUI elements; receiving a setting input from the user device that corresponds to the selected GUI elements; modifying the user adjustable setting for each of the selected GUI elements according to the corresponding setting input; and updating the protocol based on the user adjustable setting for each of the selected GUI elements and operations associated with the VR device.

A motion monitoring method (500) is provided, which includes: obtaining a movement signal of a user during motion, wherein the movement signal includes at least an electromyographic signal or an attitude signal (510); and monitoring a movement of the user during motion based at least on feature information corresponding to the electromyographic signal or the feature information corresponding to the attitude signal (520).

Methods, systems and devices are provided for motion-activated display of messages on an activity monitoring device. In one embodiment, method for presenting a message on an activity monitoring device is provided, including the following method operations: downloading a plurality of messages to the device; detecting a stationary state of the device; detecting a movement of the device from the stationary state; in response to detecting the movement from the stationary state, selecting one of a plurality of messages, and displaying the selected message on the device.

Systems and methods for monitoring food intake include an air pressure sensor for detecting ear canal deformation, according to some implementations. For example, the air pressure sensor detects a change in air pressure in the ear canal resulting from mandible movement. Other implementations include systems and methods for monitoring food intake that include a temporalis muscle activity sensor for detecting temporalis muscle activity, wherein at least a portion of the temporalis muscle activity sensor is coupled adjacent a temple portion of eyeglasses and disposed between the temple tip and the frame end piece. The temporalis muscle activity sensor may include an accelerometer, for example, for detecting movement of the temple portion due to mandibular movement from chewing.

A smartphone or other mobile computer device, general purpose or specialized, wherein the smartphone device is configured to actively control the configuration of one or more bladders, compartments, chambers or internal sipes and one or more sensors located in either one or both of a sole or a removable inner sole insert of the footwear of the user and/or located in an apparatus worn or carried by the user, glued unto the user, or implanted in the user. The one or more bladders, compartments, chambers, or sipes, and one or more sensors are configured for computer control. A sole and/or a removable inner sole insert for footwear, including one or more bladders, compartments, chambers, internal sipes and sensors in the sole and/or in a removable insert; or on an insole; all being configured for control by a smartphone or other mobile computer device, general purpose or specialized.

A walking assist device includes a plurality of electrodes disposed on a surface of a leg of a user, a stimulation applier configured to apply, to the electrodes, a voltage for applying electrical stimulation to the muscles, and a control unit configured to control the stimulation applier to apply the voltage to one or more target electrodes selected from among the electrodes. The control unit controls the stimulation applier such that a combination of electrodes selected as the one or more target electrodes is different for each of a plurality of motion phases included in a motion cycle of the leg during the walking motion.

A wearable device and a method of operating the same are provided. The wearable device includes a shoe assembly, a plurality of pressure sensors, a processing circuit and an alarm module. The plurality of pressure sensors are disposed on the shoe assembly and configured to generate a plurality of pressure sensing values. The processing circuit is configured to calculate a center of gravity coordinate according to the plurality of pressure sensing values and coordinates of the plurality of pressure sensors, and generate a determination result according to the center of gravity coordinate. The alarm module is configured to output an alarm signal to perform an alarm function.