An information processing system includes an identification unit configured to identify unique information on shoes using at least part of a captured image of the shoes, and a setting unit configured to set an association between an acquisition device configured to acquire the unique information and a module device attached to the shoes based on the unique information.

A low power force detection system includes variable capacitors, a drive sense module, and a processing module. A drive sense circuit of the drive sense module is operable to provide an analog and frequency domain signal to a variable capacitor. The drive sense circuit is further operable to detect a characteristic of the variable capacitor based on the analog and frequency domain signal and to generate a representative signal of the characteristic. The processing module is operable to generate a digital value based on the representative and to write the digital value to memory.

Implementations are directed to a pressure-sensing device including a pressure-sensitive sheet, one or more pressure-sensitive input regions disposed along the pressure-sensitive sheet including a first conductive thread including a first length in contact with the pressure-sensitive sheet, and a second conductive thread including a second length in contact with the pressure-sensitive sheet. At least a first portion of the first length of the first conductive thread passes through the pressure-sensitive sheet through a first hole in the pressure-sensitive sheet at a first location and a second portion of the second length of the second conductive thread passes through the pressure-sensitive sheet through a second hole in the pressure-sensitive sheet at a second location.

This disclosure relates generally to a Parkinson's disease detection system. Parkinson's disease is a neuro-degenerative disorder affecting motor and cognitive functions of subjects. Since symptom manifestation is limited in Parkinson's disease, identifying Parkinson's disease in the early stage is a challenging task. The present disclosure overcomes the limitations of the conventional methods for detecting Parkinson's disease by utilizing a graph theory approach. Here, each pressure sensor attached to an insole corresponding to a plurality of pressure points associated with a foot of the subject is considered as a node of a connectivity graph. The foot dynamics analysis is performed based on a metric known as mediolateral stability index and the mediolateral stability index is calculated by utilizing a betweenness centrality associated with each node of the connectivity graph. Further, the mediolateral stability index is compared with standard values to detect the intensity of the Parkinson's disease.

A method and system for heterogeneous event detection. Sensor data is obtained and divided into discrete data windows. Each data window is defined by and corresponds to a time period of the sensor data. A time-frequency representation over the time period is calculated for each data window. A filter mask is calculated based on the data window corresponding to the time-frequency representation. The filter mask is applied for reverting the time-frequency representation to a time representation, resulting in filtered data. Features, such as extrema or other inflection points, are identified in the filtered data. The features define events, and transforming the time-frequency representation back into the time domain emphasizes differences between more and less prominent frequencies, facilitating identification of heterogeneous events. The method and system may be applied to body movements of people or animals, automaton movement, audio signals, light intensity, or any suitable time-dependent variable.

Contemplated systems for monitoring and analysis of human motion synthesis are disclosed herein that include: at least one garment configured to be worn by a user, at least one inertial sensor, wherein the at least one inertial sensor is integrated with or into the at least one garment, an information system, wherein the information system communicates with the at least one inertial sensor to produce a set of data, at least one musculorientation metric generated by the information system, and at least one performance report that is produced from the analysis of the at least one musculorientation metric.

Disclosed herein are devices, methods and systems for monitoring and detection of pressure on a part of a body of a user. In an embodiment, a device includes a substrate having a contact surface for contacting a user, one or more sacs associated with the contact surface of the substrate, and one or more sensors in communication with the one or more sacs, the one or more sensors adapted to measure changes in pressure in the one or more sacs. The sacs contain a fluidic material configured to transmit pressure. The fluidic material is further configured to be shock-absorbing and pressure-relieving such that the fluidic material is displaceable by an action of the user contacting the contact surface causing the pressure in the fluidic material to be redistributed.

A gait state measurement device measures a gait state of a subject who is walking on a walking surface formed on a belt that runs along a circulation track. The gait state measurement device includes an acquisition unit, a position estimation unit, and a warning control unit. The acquisition unit acquires measurement information of a load distribution sensor that detects the load of the subject through the belt. The position estimation unit estimates the position of the sole of the subject based on the measurement information. The warning control unit performs a different type of warning depending on a relationship between the position of the sole of the subject and each of target areas that are defined according to an installation area of the load distribution sensor.

Provided are a smart shoe and a data processing method thereof. The smart shoe includes: a stance phase measurement unit for, when one of two feet is set as a reference foot and a period during which the reference foot is taken off a ground and touches the ground again is set as a walking cycle, detecting acceleration and gyro in a stance phase in which the reference foot touches the ground; a swing phase measurement unit for detecting a difference between acceleration of the swing phase when the reference foot is taken off the ground and acceleration at the moment when the reference foot touches the ground; and a predict velocity update (PUPT) unit for obtaining and correcting a velocity of the stance phase condition.

Provided is a sensor device-equipped golf shoes comprising: golf shoes including a left and right pair of a first shoe and a second shoe to be worn by a golfer; and a sensor device attached to the golf shoes. The sensor device includes one or more sensor modules configured to measure sensor data pertaining to at least one of an orientation of the first shoe when the golfer takes a shot, an orientation of the second shoe when the golfer takes a shot, and a positional relationship between the first shoe and the second shoe when the golfer takes a shot.