Method for detecting biomechanical and functional parameters of the knee in a situation of performance stress, which comprises: a step for the set up of video recording means (1); a step for the set up of multiple optical markers (4) at specific landmark anatomic points (PA) of the foot and of the knee of a person; a step for the set up, at the plantar surface of the foot, of baropodometric means (5); a step for the acquisition, by means of the video recording means (1), of images of at least one reference action, and a step for the detection, by means of the baropodometric means (5), of baropodometric parameters; a step for calculating, from the baropodometric parameters, the coordinates of the center of pressure (COP) of the foot and of the constraining reaction force (FV) acting on the foot; a step for calculating a force arm (BF) given by the distance between the center of pressure (COP) and a reference point (PR) of the knee; a step for calculating a biomechanical parameter indicative of the valgus moment, derived from the vector product (PV) of the force arm (BF) and the constraining reaction force (FV).

The invention relates to a wearable device for determining a nature of motion and/or a physiological state of a wearer. The wearable device comprises a body portion configured to be worn by the wearer and at least one sensor mounted to the body portion configured to, while the wearable device is being worn, detect a motion parameter of the wearer and/or a physiological parameter of the wearer and generate input data indicative of the motion parameter and/or the physiological parameter. The wearable device further comprises a processor configured to receive the input data from the at least one sensor and process the input data by executing an algorithm to determine the nature of motion and/or the physiological state of the wearer while the wearable device is being worn. The invention further relates to a system for determining a nature of motion and/or a physiological state of a wearer.

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.

A personal monitoring system includes one or more passive biometric sensors and a communication device. A passive biometric sensor is operable to sense a body condition of a body in accordance with a sense signal at a sense frequency to produce sensed data of a body condition. The passive biometric sensor is further operable to transmit an e-field signal via the body regarding the sensed data, wherein the e-field signal is in accordance with an e-field transmit/receive frequency. The communication device is operable to receive the e-field signal via the body. The communication device is further operable to recover the sensed data from the received e-field signal.

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.

A soft, flexible microtube sensor and associated method of sensing force are described. A liquid metallic alloy is sealed within a microtube as thin as a strand of human hair to form the physical force sensing mechanism. The sensor is hardly distinguishable with the naked eye, and can be used for the continuous biomonitoring of physiological signals, such as unobtrusive pulse monitoring. Also described is a method of fabricating the microtube sensor and wearable devices incorporating one or more microtube sensors.

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.

A fatigue relief method using smart footwear and an operation method for a user terminal are provided. The fatigue relief method using smart footwear comprises: receiving the provision of pressure data or acceleration data measured while a user wears smart footwear and performs an exercise, wherein the smart footwear has at least one pressure sensor or acceleration sensor and a tactile element, which are installed therein; estimating the fatigue of the user by using the provided pressured data or acceleration data; selecting one of a plurality of vibration solutions on the basis of the estimated fatigue; and allowing the tactile element of the smart footwear to vibrate according to the selected vibration solution.

An information processing system includes an acquisition unit configured to acquire sensing data from a sensor device used for a foot, and a determination unit configured to determine an attached state of the sensor device to the foot according to a motion of the foot calculated using the sensing data.