A gait analysis apparatus includes a bottom insole pad, a top insole pad layered over the bottom insole pad and configured to be worn by a limb of a subject, a plurality of force sensors configured to sense force exerted by the limb at least in two directions and affixed between the top insole pad and the bottom insole pad, and a processor configured to collect measurement data from the plurality of force sensors and determine a pose of or abnormality in the limb based on the measurement data and a predetermined profile.

An insole with embedded sensing system includes a pressure sensing layer arranged on the insole, an infrared sensing layer arranged inside the insole, and a sensing module installed inside an arch pad integrated with the insole. The sensing module is electrically coupled with the pressure sensing layer and the infrared sensing layer for receiving and processing detected electronic signals.

An article of footwear with an automatic lacing system is disclosed. The automatic lacing system provides a set of straps that can be automatically opened and closed to switch between a loosened and tightened position of the upper. The article further includes an automatic ankle cinching system that is configured to automatically adjust an ankle portion of the upper.

An article of footwear with an automatic lacing system is disclosed. The automatic lacing system provides a set of straps that can be automatically opened and closed to switch between a loosened and tightened position of the upper. The article further includes an automatic ankle cinching system that is configured to automatically adjust an ankle portion of the upper.

Embodiments of the disclosed subject matter generally relate to electrically grounding a user who may be working in an environment where static electricity might otherwise build up on the user and damage sensitive electronic devices being handled by the user. Embodiments include attaching an electrocardiogram (ECG) electrode to the user's skin and removably attaching the ECG electrode to an electrical conductor which may be detachably connected to a flexible base disposed on the outside of and under the user's shoe.

Systems, devices, and methods including a tapered shaft having a first end and a second end, wherein the first end is distal from the second end, where a diameter of the first end is smaller than a diameter of the second end; a fixed footwear holder secured to the first end of the tapered shaft; a fixed charm mount secured to the second end of the tapered shaft; a floating washer disposed about the tapered shaft, where an aperture of the floating washer has an inner diameter that is greater than the diameter of the first end and less than the diameter of the second end; and where the fixed charm mount is configured to securely fasten a charm; and where a length of the tapered shaft is greater than a maximum distance between the floating washer and the fixed footwear holder.

Systems, devices, and methods including a tapered shaft having a first end and a second end, wherein the first end is distal from the second end, where a diameter of the first end is smaller than a diameter of the second end; a fixed footwear holder secured to the first end of the tapered shaft; a fixed charm mount secured to the second end of the tapered shaft; a floating washer disposed about the tapered shaft, where an aperture of the floating washer has an inner diameter that is greater than the diameter of the first end and less than the diameter of the second end; and where the fixed charm mount is configured to securely fasten a charm; and where a length of the tapered shaft is greater than a maximum distance between the floating washer and the fixed footwear holder.

A method of manufacturing an insert system for footwear includes assembling electronic components. The electronic components include a sensor array having physiological sensors. Each physiological sensor includes a first high resistance layer configured to be in contact with a second high resistance layer when no force is applied to the sensor. The method further includes positioning the sensor array between a first layer and a base layer. An insert system for footwear includes a first layer, a base layer, a sensor array between the first and base layers, and a circuit board. The sensor array includes physiological sensors. Each physiological sensor includes a first high resistance layer in contact with a second high resistance layer when no force is applied to the sensor. The circuit board can transmit signals external to the system to trigger an alert being issued to a user, based on an output of the sensor array.

The general field of the disclosure herein relates to the design of one or more health related monitoring or maintenance devices. These devices may include but are not limited to devices that monitor and/or maintain the health of users or devices that monitor and/or maintain the health of assets. The devices include oral cleaning devices for maintaining and monitoring the oral health of users, clothing for monitoring the health and fitness of users and charging pads which may monitor the health or assets being charged. Sensors may be integrated in these devices including but not limited to IMUs, thermocouples or oral cleaning devices, IMUs in clothing like shoes or wrist bands, or timers or charging sensors in magnetic surfaces which may cause one or more objects and/or other magnetic surfaces to float when a desired function is achieved.

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.