A load sensing device for a shoe includes a base element having a first side and an opposite second side. The first side has a predefined area. A first load sensing element and a second load sensing element are positioned at the first side of the base element. The first load sensing element is positioned in a first area of the predefined area of the first side, and the second load sensing element is positioned in a second area of the predefined area of the first side. The first load sensing element has a fixed position relative to the second load sensing element during use. The first load sensing element and the second load sensing element are configured to measure a load applied to at least part of the predefined area of the first side.

The invention relates to a digital media distribution method and a digital media distribution system (1) configured to distribute digital media (301), characterized in that said digital media (301) are distributed to presentation computing devices (20) each associated with at least one connected sole (10), said digital media distribution system comprising a calculation computing device (30) configured to load (510) mobility or posture parameter values (101) calculated from raw data generated by at least one connected sole (10); Load (520) shoe parameter values (201); Load (530) digital media (301) and a distribution repository (311) including digital media (301) distribution rules (322); Transmit (540) personalized digital media (401) to at least one presentation computing device (20) coupled to the at least one connected sole (10) having generated said raw data.

The present disclosure relates to an acupoint stimulation device and an acupoint stimulation method using the same. The acupoint stimulation device includes: a power supply unit configured to supply power; a controller configured to generate an electrical stimulus signal applied to a skin of the subject; and an electrical stimulation unit including two or more electrodes configured to receive power from the power supply unit and to supply the stimulus signal to the acupoint area, wherein the electrodes are arranged in a state of being electrically insulated from each other and are in electrical contact with the skin of the subject. Thereby, it is possible to provide an appropriate amount of stimulation required for treatment and symptom relief by providing stimulation to an accurate acupoint position.

An insole mapping apparatus (10C), including: at least one location sensor (20C) and potentially two or more location sensors such as (20A,20B) each for being attached to one organ of the user (19), for measuring locations (21A,21B,21C) of the organs in relation to at least one stationary object (26A); and a processor (29), for determining deformations (36A1) of a body of the user (19) according to the measurements (21A,21B,21C), and for determining an insole map (74) being opposite to the determined deformations (36A1).

Aspects relate to an energy harvesting device adapted for use by an athlete while exercising. The device may utilize a mass of phase-change material to store heat energy, the stored heat energy subsequently converted into electrical energy by one or more thermoelectric generator modules. The energy harvesting device may be integrated into an item of clothing, and such that the mass of phase change material may store heat energy as the item of clothing is laundered.

Athletic performance monitoring and tracking may provide multiple ways in which to track athletic movement and activity. Workouts may also be tagged with various parameters including mood, weather, terrain, athletic equipment, friends used and the like. Workout information may be shared to social messaging and networking outlets. Workout information shared may include map information including images of maps, interactive maps, links to maps, route information and the like and/or combinations thereof. Additionally or alternatively, an application may be configured to execute within a context of a social networking system to facilitate athletic activity data transfer and generation of workout entries in the social networking site.

A system for analysis of user gait and foot disorder intended to minimize risks ulceration and limb amputation associated with the uncontrolled increase of the foot temperature in persons with diabetes. This system comprises a motion, force and temperature sensors and a processing element configured to process motion algorithms, measure ground reaction force (GRF) and changes in foot temperature embedded in the footwear insoles in communication with a smartphone based analysis application using wireless radio interface. The analysis application processes data received from the footwear sensors, compares the results with set of criteria and rules, and if any of the predefined criteria is exceeded, provides alerts to the user and the remote medical supervisor. Additionally, the insoles may be equipped with a haptic actuators configured to determine the level of the user neuropathy by measuring vibration perception threshold (VPT) level.

A computing system configured to perform operations that identify user movement(s) as upper-body exercise(s). The operations can include obtaining sensor data generated by one or more sensors of a footwear device worn by a user, the one or more sensors positioned in one or more positions of the footwear device, the sensor data associated with one or more movements performed by the user. The sensor data can be input into a machine-learned exercise identification model. Exercise identification data can be received as an output of the machine-learned exercise identification model. The exercise identification data can identify the one or more movements performed by the user as one or more upper-body exercises performed by the user, the exercise identification data comprising one or more exercise characteristics associated with each upper-body exercise of the one or more upper-body exercises performed by the user.

A detection device for detecting posture and movement of a user is provided. The detection device has a main body insertable or integrated in a footwear, a detection group embedded in the main body and having at least one detection member having at least one accelerometer element and at least one gyroscope element. The detection device has a power supply group embedded in the main body and having a generator organ of alternating current, and a generator organ of direct current connected to the generator organ of alternating current to receive and transform alternating current into direct current to supply electricity to the detection group.

A method and system for activity classification. A pressure sensor receives input data resulting from physical activity of a subject performing an activity. The input data includes pressure data from at least one pressure sensor, and may include other data acquired through other types of sensors. A deep learning neural network is applied to the input data for identifying the activity. The neural network is trained with reference to training data from a training database. The training data may include empirical data from a database of previous data of corresponding activities, synthesized data prepared from the empirical data or simulated data. The training data may include data from physical activity of the subject being monitored by the system. Different aspects of the neural network may be trained with reference to the training data, and some aspects may be locked or opened depending on the application and the circumstances.