Abstract: A portable instrument provided with a device for controlling or managing a sports or well-being activity of a person wearing the portable instrument. The control device includes at least a motion sensor and a pressure sensor connected to a calculation unit, and a GNSS receiver module connected to the calculation unit. The calculation unit of the control device is arranged to activate the GNSS receiver module for a time of activation defined subsequent to variations in movement detected by the motion sensor differing from known movement data or walking profiles in order to determine at least one reference speed of the person, and to deactivate the GNSS receiver module after the activation time for a deactivation time greater than the activation time.

Abstract: The invention concerns a device for measuring instantaneous sprint velocity, said device consisting of at least one position and/or one velocity sensor and one IMU sensor that respectively provide position and/or velocity and acceleration signals and wherein said signals are fused. The invention also concerns a method for measuring instantaneous sprint velocity comprising the use of at least one position and/or one velocity sensor and one IMU sensor that respectively provide position and/or velocity and acceleration signals and wherein said signals are fused.

Abstract: A method of detecting gaits of an individual with a sensor worn by the individual. The sensor includes an accelerometer and a processing unit. The method includes obtaining an signal representing one or more sensor acceleration values; sampling the signal to obtain a sampled signal; segmenting the sampled signal into windows to obtain a segmented acceleration signal; extracting a feature set from the segmented acceleration signal; determining a probability value, for a respective window, n, where n is a positive integer greater than zero, the probability value giving an estimated probability value of gait occurrence for the individual during the respective window; modifying the estimated probability value by using a histogram of previously detected gait durations to obtain a modified probability value; and determining, based on the modified probability value, and by using a determination threshold whether or not the respective window represents gait occurrence.

Abstract: A method for calculating an estimation of the speed {circumflex over (V)}[n?] of an individual walking along a path, over a time window including: computing a step length [n?] of the individual, calculating the speed {circumflex over (V)}[n?] using the following formula: {circumflex over (V)}[n?]=[n?]×[n?].

Abstract: A method of detecting gaits of an individual with a sensor worn by the individual. The sensor includes an accelerometer and a processing unit. The method includes obtaining an signal representing one or more sensor acceleration values; sampling the signal to obtain a sampled signal; segmenting the sampled signal into windows to obtain a segmented acceleration signal; extracting a feature set from the segmented acceleration signal; determining a probability value, for a respective window, n, where n is a positive integer greater than zero, the probability value giving an estimated probability value of gait occurrence for the individual during the respective window; modifying the estimated probability value by using a histogram of previously detected gait durations to obtain a modified probability value; and determining, based on the modified probability value, and by using a determination threshold whether or not the respective window represents gait occurrence.

Abstract: A portable instrument provided with a device for controlling or managing a sports or well-being activity of a person wearing the portable instrument. The control device includes at least a motion sensor and a pressure sensor connected to a calculation unit, and a GNSS receiver module connected to the calculation unit. The calculation unit of the control device is arranged to activate the GNSS receiver module for a time of activation defined subsequent to variations in movement detected by the motion sensor differing from known movement data or walking profiles in order to determine at least one reference speed of the person, and to deactivate the GNSS receiver module after the activation time for a deactivation time greater than the activation time.

Abstract: A method for calculating an estimation of the speed {circumflex over (V)}[n?] of an individual walking along a path, over a time window including: computing a step length [n?] of the individual, calculating the speed {circumflex over (V)}[n?] using the following formula: {circumflex over (V)}[n?]=[n?]×[n?].

Abstract: A method for contactlessly determining an exact passage of an athlete at points placed along a track in sports, wherein the method comprises gearing the athlete with a wearable magnetometer sensor unit, whereby the magnetometer sensor unit is equipped with at least a magnetic sensor, a processing unit, and a storage medium; placing at each point at least a permanent magnet in proximity of a track surface of the track. When the athlete moves along the track, the method further comprises recording at the magnetic sensor a signal; detecting for each permanent magnet a disturbance of a local magnetic field generated by the permanent magnet in the recorded signal and measuring the disturbance; mapping of the measured disturbance to a movement speed of the athlete and a distance of the athlete to the magnet corresponding to the local magnetic field; and correcting the movement speed and the distance for a time offset between the magnet passage of an athlete's center of mass and the magnetometer sensor unit.

Abstract: The invention relates to a system and a method for assessment of walking and miming gait in human. The method is preferably based on the fusion of a portable device featuring inertial sensors and several new dedicated signal processing algorithms: the detection of specific temporal events and parameters, 5 optimized fusion and de-drifted integration of inertial signals, automatic and online virtual alignment of sensors module, 3D foot kinematics estimation, a kinematic model for automatic online heel and toe position estimation, and finally the extraction of relevant and clinically meaning-full outcome parameters. Advantageously including at least one wireless inertial module attached to foot, the system provides common spatio-temporal parameters (gait cycle time, stride length, and stride velocity), with the 10 advantage of being able to work in unconstrained condition such as during turning or running.

Abstract: A control device includes a two-dimensional inertial system configured to measure an acceleration of the control device. A control circuit is coupled to the two-dimensional inertial system where the control circuit is configured to receive acceleration information for the acceleration measured by the two-dimensional inertial system. The control circuit is further configured to integrate the acceleration information to calculate the velocity of the control device and determine if the velocity of the control device becomes zero along one or both of the two dimensions for which the two-dimensional inertial system is configured to measure acceleration. The control circuit is further configured to correct a drift in the velocity if the control circuit determines that the velocity is zero along one or both of the two dimensions.

Abstract: According to one embodiment of the present invention, the system for clinical assessment of movement disorders (iTUG) is comprised of a) a protocol to assess gait, balance, and mobility; b) a plurality of wearable sensors including accelerometers, gyroscopes, magnetometers, optical sensors, and goniometers to record kinematics data obtained from a patient during said protocol; c) means for wirelessly transmitting said kinematics data to a storage and data processing server; and d) a plurality of statistical and biomedical signal processing methods to analyze said kinematic data and derive a plurality of metrics (outcomes) to objectively quantify movement disorders. A specially important outcome for the assessment of movement disorders is described, namely, the quantification of the onset and offset parameters during turning.

Abstract: The invention relates to a system and a method for assessment of walking and miming gait in human. The method is preferably based on the fusion of a portable device featuring inertial sensors and several new dedicated signal processing algorithms: the detection of specific temporal events and parameters, 5 optimized fusion and de-drifted integration of inertial signals, automatic and online virtual alignment of sensors module, 3D foot kinematics estimation, a kinematic model for automatic online heel and toe position estimation, and finally the extraction of relevant and clinically meaning-full outcome parameters. Advantageously including at least one wireless inertial module attached to foot, the system provides common spatio-temporal parameters (gait cycle time, stride length, and stride velocity), with the 10 advantage of being able to work in unconstrained condition such as during turning or running.

Abstract: A control device includes a two-dimensional inertial system configured to measure an acceleration of the control device. A control circuit is coupled to the two-dimensional inertial system where the control circuit is configured to receive acceleration information for the acceleration measured by the two-dimensional inertial system. The control circuit is further configured to integrate the acceleration information to calculate the velocity of the control device and determine if the velocity of the control device becomes zero along one or both of the two dimensions for which the two-dimensional inertial system is configured to measure acceleration. The control circuit is further configured to correct a drift in the velocity if the control circuit determines that the velocity is zero along one or both of the two dimensions.

Abstract: According to one embodiment of the present invention, the system for clinical assessment of movement disorders (iTUG) is comprised of a) a protocol to assess gait, balance, and mobility; b) a plurality of wearable sensors including accelerometers, gyroscopes, magnetometers, optical sensors, and goniometers to record kinematics data obtained from a patient during said protocol; c) means for wirelessly transmitting said kinematics data to a storage and data processing server; and d) a plurality of statistical and biomedical signal processing methods to analyze said kinematic data and derive a plurality of metrics (outcomes) to objectively quantify movement disorders. A specially important outcome for the assessment of movement disorders is described, namely, the quantification of the onset and offset parameters during turning.

Abstract: The present invention relates to a system and a method for monitoring body movement, in particular but not exclusively for evaluating the falling risk and/or for monitoring sitting, standing, lying, walking and running periods. The system is characterized by the fact that it comprises means for determining the time of postural transition.

Abstract: The invention relates to a device and a method for measuring gait parameters.

Abstract: The present invention relates to a system and a method for monitoring body movement, in particular but not exclusively for evaluating the falling risk and/or for monitoring sitting, standing, lying, walking and running periods. The system is characterized by the fact that it comprises means for determining the time of postural transition.