Aspects of this disclosure relate to improving an athlete's ability to synchronize the movement of their body in time. Certain embodiments provide a feedback system that allows an athlete (or another individual, such as a trainer) to comprehend and optimize the timing of one or more components or features of an athletic movement. Image data, such as video, of an athlete performing physical activity may be utilized (alone or in combination with non-image data) may be used to generate and emit real-time feedback signals to provide an indication of tempo to the athlete. Still further aspects relate to using image and/or other sensor data to detect improper timing and/or movements of an athlete, and in response generating real-time feedback signals.

A system, method, and computer program product for analyzing force sensor data is provided. Force sensor data collected from a plurality of force sensors positioned underfoot is analyzed to detect foot contact events and/or a foot contact period. Foot contact and/or foot off can be detected based on inflection points identified in the force signal data received from the plurality of sensors. Identifying foot contact events by detecting inflection points in the force sensor data can increase the sensitivity of detecting both foot contact and foot off. The use of inflection points also allows both foot contact and foot off to be identified even when these foot contact events occur at different force signal heights. Methods for determining ground reaction force data and correcting the magnitude of ground reaction force signals are also provided.

Shear force and pressure on a structure are simultaneously monitored using signals received from sensors with antennas on the structure. For example, sensors and systems for monitoring shear force and pressure have applications including ulcer prevention associated with structures including shoes, prosthetics, wheel-chairs, and beds of bed-bound patients.

There is described an integrated unweighted gait training system having an unweighting system comprising a computer controller; a gait measurement system in communication with the controller; and a display in communication with the computer controller adapted and configured to provide real-time feedback to a user of the integrated unweighting gait training system. The unweighting system may be a differential air pressure (DAP) unweighting system or a non-DAP unweighting system.

The embodiments and methods described herein relate to an improved functional electrical stimulation (FES) orthosis. An apparatus can include a frame assembly, an electrode assembly, and an electric stimulator. The frame assembly is removably coupleable to a portion of a limb. The electrode assembly is configured to be in electrical communication with a portion of a neuromuscular system of the limb, and includes first and second sets of electrodes. The electric stimulator is in electrical communication with the electrode assembly. The electric stimulator is configured to send a first signal substantially during a first time period and via a first channel to the first set of electrodes for stimulation of a neuromuscular system of the limb, and is configured to send a second signal, during at least one of the first time period or a subsequent second time period, via a second channel to the second set of electrodes for stimulation of the neuromuscular system of the limb.

To provide an insole-type electronic device that can be used in a location distant from a control unit and has small power consumption, the insole-type electronic device includes a first insole including a first sensor and a second insole including a second sensor. The first sensor acquires first sensor data relating to a biological activity of a first foot and the second sensor acquires second sensor data relating to a biological activity of a second foot. The first insole includes a first-sensor-data transmitter transmitting the first sensor to the second insole. The second insole includes a first-sensor-data receiver receiving the first sensor data, and a data processor processing the first sensor data and the second sensor data.

On a wearable and Internet of Things (IOT) device that is proximate to a user equipment, a method to detect reflective zones of the wearable device may include, in response to a preset criterion, obtaining a characteristic of the left foot pressure points, obtaining a characteristic of the right foot pressure points, obtaining a pressure sensor on the wearable device, obtaining a position sensor on the wearable device, obtaining a force sensor on the wearable device, obtaining kinetic energy movement from the wearable device, and obtaining the radio characteristic of the wearable device. The method may also include transmitting the left foot pressure points characteristic, the right foot pressure points characteristic, the pressure sensor on the wearable device, the position sensor on the wearable device, the force sensor on the wearable device, the kinetic energy movement from the wearable device, and the radio characteristic to a user equipment.

The invention relates to devices and methods for designing and manufacturing customized footwear, and components thereof. An example method includes a method of designing at least a portion of a sole of an article of footwear customized for a user. The method includes the steps of determining at least one input parameter related to a user, analyzing the at least one input parameter to determine at least one performance metric of a foot of the user, and determining at least one customized structural characteristic of at least a portion of a sole of an article of footwear for the user based on the performance metric.

The invention relates to a method for determining abnormal gait comprising the following steps: (a) measuring ground reaction force generated during walking by a plurality of sensors arranged on the left-foot and the right-foot respectively; (b) applying measurements from each of the plurality of sensors to a predetermined fuzzy membership function to transform the measurements into the first fuzzy values; (c) applying the first fuzzy values to a predetermined fuzzy logic to generate the second fuzzy values for a plurality of gait phases; and (d) comparing the second fuzzy values with pre-stored data of normal gait to determine whether it is abnormal gait or not. Therefore, it is possible to determine abnormal gait more accurately even with fewer sensors.

A foot sole pressure measurement instrument includes a measurement unit which is installed on a foot sole part of a subject and measures a pressure applied to the foot sole part of the subject, and an output unit configured to output data of the measured pressure.