Abstract: The present invention relates to systems and methods for self-learning of locomotion characteristic and speed during bipedal locomotion using sensor and GPS technology.

Abstract: A system, method and apparatus that is capable of automatically detecting and classifying various physical activities of a user. This enables such activities to be analyzed, for example according to the complexity of the activity and the amount of time spent in each activity. A barcode may be calculated, according to the various activities of the user, the amount of time spent in each activity and optionally also the complexity of each such activity.

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 system for measuring power output of a runner is disclosed. In some embodiments the system comprises a first sensor component including a first sensor, microprocessor, and a signal transceiver; a second sensor component including a second sensor and a signal transmitter; wherein the first sensor is configured to measure a vertical velocity and horizontal velocity, the second sensor is configured to measure the slope angle of a foot of the runner during a stance phase of the foot, the signal transmitter configured to send slope angle data, the signal transceiver configured to receive the slope angle data from the signal transmitter, and the microprocessor has computing instructions configured to calculate a power output based on the vertical velocity, horizontal velocity, and slope angle data.

Abstract: A system, method and apparatus that is capable of automatically detecting and classifying various physical activities of a user. This enables such activities to be analyzed, for example according to the complexity of the activity and the amount of time spent in each activity. A barcode may be calculated, according to the various activities of the user, the amount of time spent in each activity and optionally also the complexity of each such activity.

Abstract: A system for measuring power output of a runner is disclosed. In some embodiments the system comprises a first sensor component including a first sensor, microprocessor, and a signal transceiver; a second sensor component including a second sensor and a signal transmitter; wherein the first sensor is configured to measure a vertical velocity and horizontal velocity, the second sensor is configured to measure the slope angle of a foot of the runner during a stance phase of the foot, the signal transmitter configured to send slope angle data, the signal transceiver configured to receive the slope angle data from the signal transmitter, and the microprocessor has computing instructions configured to calculate a power output based on the vertical velocity, horizontal velocity, and slope angle data.

Abstract: A system for measuring power output of a runner is disclosed. In some embodiments the system comprises a first sensor component including a first sensor, microprocessor, and a signal transceiver; a second sensor component including a second sensor and a signal transmitter; wherein the first sensor is configured to measure a vertical velocity and horizontal velocity, the second sensor is configured to measure the slope angle of a foot of the runner during a stance phase of the foot, the signal transmitter configured to send slope angle data, the signal transceiver configured to receive the slope angle data from the signal transmitter, and the microprocessor has computing instructions configured to calculate a power output based on the vertical velocity, horizontal velocity, and slope angle data.

Abstract: A system, method and apparatus that is capable of automatically detecting and classifying various physical activities of a user. This enables such activities to be analyzed, for example according to the complexity of the activity and the amount of time spent in each activity. A barcode may be calculated, according to the various activities of the user, the amount of time spent in each activity and optionally also the complexity of each such activity.

Abstract: The present invention relates to systems and methods for self-learning of locomotion characteristic and speed during bipedal locomotion using sensor and GPS technology.

Abstract: A system, method and apparatus that is capable of automatically detecting and classifying various physical activities of a user. This enables such activities to be analyzed, for example according to the complexity of the activity and the amount of time spent in each activity. A barcode may be calculated, according to the various activities of the user, the amount of time spent in each activity and optionally also the complexity of each such activity.

Abstract: A system for measuring power output of a runner is disclosed. In some embodiments the system comprises a first sensor component including a first sensor, microprocessor, and a signal transceiver; a second sensor component including a second sensor and a signal transmitter; wherein the first sensor is configured to measure a vertical velocity and horizontal velocity, the second sensor is configured to measure the slope angle of a foot of the runner during a stance phase of the foot, the signal transmitter configured to send slope angle data, the signal transceiver configured to receive the slope angle data from the signal transmitter, and the microprocessor has computing instructions configured to calculate a power output based on the vertical velocity, horizontal velocity, and slope angle data.

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: 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.