Abstract: Method implementing an accelerometer (17) for detecting asymmetries in a movement of a user, comprising: (a) fastening a device (1) on the torso of the runner, close to his/her center of gravity (CG), said device being electrically self-sufficient and comprising a triaxial accelerometer (17) and a digital processor (19); (b) using said accelerometer to measure a sequence of acceleration data in at least the vertical direction (av), while the user performs at least one exercise; and (c) during or at the end of said exercise, having said processor calculate the biomechanical parameters enabling the detection of at least one asymmetry in a movement of the user, on the basis of said acceleration data.

Abstract: A method and system for optimizing an athlete's performance during a race using a wearable device. The method involves determining the athlete's performance level from past races or trainings, and collecting race data through a wearable sensor. This data helps retrieve a tailored race profile from several options, each a non-linear function of time over distance, optimized for the athlete's level. The selected profile is applied to the sensor data to compute a projected race time, which is then displayed on the device. The system also measures and displays other race parameters such as stride length, cadence, and physiological metrics. It adjusts recommendations for pace in real-time based on these inputs. Advanced features include neural networks for enhancing race profile accuracy using data from multiple athletes. The device's processor and memory manage these functions effectively, providing dynamic feedback and strategic adjustments during the race, aiming to significantly improve athletic performance.

Abstract: Method implementing an accelerometer (17) for analyzing biomechanical parameters of the stride of a runner, comprising: (a) fastening a device (1) on the torso of the runner, said device being electrically self-sufficient and comprising a triaxial accelerometer (17), a chronograph (16), a digital processor (19) and a display (11); (b) measuring a sequence of acceleration data in at least the vertical direction (av) using said accelerometer, while the runner runs a certain distance (D) along a running course; (c) during or at the end of said running course, having said processor calculate the biomechanical parameters of the stride, including the lowering (A) of the center of gravity and/or the elevation (E) of the center of gravity and/or the sum of the lowering and of the elevation of the center of gravity and/or the vertical mechanical work of the center of gravity (CG) of said runner, on the basis of said acceleration data, of said distance (D) and of a period of time (T) measured by said chronograph (16

Abstract: A method implementing an accelerometer for analyzing biomechanical parameters of a runner's stride. The method includes fastening a device (1) on the runner that has a triaxial accelerometer (17), a chronograph (16), a digital processor (19) and a display (11). The method measures a sequence of acceleration data in at least the vertical direction using the accelerometer, while the runner runs a certain distance (D) along a running course. During or at the end the running course, the processor calculates the biomechanical parameters of the stride, including lowering the center of gravity and/or the elevation (E) of the center of gravity and/or the sum of the lowering and of the elevation (E) and/or the vertical mechanical work of the center of gravity, based on the acceleration data, of the distance (D) and a period of time measured by the chronograph (16); and displays the parameters.

Abstract: A method for providing at least one of the following information to an athlete during a race such as a running or a cycling race: a race time prediction—a probability to achieve a target time at the end of the race; and/or an indication whether the pace followed by the athlete is too fast, adequate or too slow in order to achieve a target time, said method comprising measuring during said race a plurality of intermediate times with an inertial sensor and/or a positional sensor in a wearable device; causing a processing unit in said wearable device to retrieve, based on said intermediate time and on previous races of other athletes, a race profile as non-linear function of time over distance (t=f(d)); using the retrieved race profile for determining said information.

Abstract: A method for providing at least one of the following information to an athlete during a race such as a running or a cycling race: a race time prediction; a probability to achieve a target time at the end of the race; and/or an indication whether the pace followed by the athlete is too fast, adequate or too slow in order to achieve a target time. The method includes measuring during the race a plurality of intermediate times with an inertial sensor and/or a positional sensor in a wearable device; causing a processing unit in the wearable device to retrieve, based on the intermediate time and on previous races of other athletes, a race profile as non-linear function of time over distance (t=f(d)); and using the retrieved race profile for determining the information.

Abstract: A method implementing an accelerometer for analyzing biomechanical parameters of a runner's stride. The method includes fastening a device (1) on the runner that has a triaxial accelerometer (17), a chronograph (16), a digital processor (19) and a display (11). The method measures a sequence of acceleration data in at least the vertical direction using the accelerometer, while the runner runs a certain distance (D) along a running course. During or at the end the running course, the processor calculates the biomechanical parameters of the stride, including lowering the center of gravity and/or the elevation (E) of the center of gravity and/or the sum of the lowering and of the elevation (E) and/or the vertical mechanical work of the center of gravity, based on the acceleration data, of the distance (D) and a period of time measured by the chronograph (16); and displays the parameters.

Abstract: Method implementing an accelerometer (17) for detecting asymmetries in a movement of a user, comprising: (a) fastening a device (1) on the torso of the runner, close to his/her center of gravity (CG), said device being electrically self-sufficient and comprising a triaxial accelerometer (17) and a digital processor (19); (b) using said accelerometer to measure a sequence of acceleration data in at least the vertical direction (av), while the user performs at least one exercise; and (c) during or at the end of said exercise, having said processor calculate the biomechanical parameters enabling the detection of at least one asymmetry in a movement of the user, on the basis of said acceleration data.

Abstract: System and method implementing an accelerometer (17) for detecting asymmetries in a movement of a user. The system includes a fastening a device (1) on the torso of the runner, close to his/her center of gravity (CG), the device being electrically self-sufficient and comprising a triaxial accelerometer (17) and a digital processor (19). The accelerometer is used to measure a sequence of acceleration data in at least the vertical direction (av), while the user performs at least one exercise. During or at the end of the exercise, having the processor calculate the biomechanical parameters enabling the detection of at least one asymmetry in a movement of the user, on the basis of the acceleration data.

Abstract: The present invention relates to a method for automatically selecting exercises to propose to a user (7) carrying a mobile device (5) comprising a processor (23), wherein the user (7) also wears a motion sensor, for example an accelerometer (3) configured for communicating with the mobile device (5). The method comprises the following steps: classifying a predefined collection of exercises in a database; automatic selection by the mobile device (5) and/or by the accelerometer (3), wherein this selection takes into account at least one feedback from the user. The feedback indicates the sensations of the user (7) whilst performing an exercise.

Abstract: A method for providing at least one of the following information to an athlete during a race such as a running or a cycling race: a race time prediction-a probability to achieve a target time at the end of the race; and/or an indication whether the pace followed by the athlete is too fast, adequate or too slow in order to achieve a target time, said method comprising measuring during said race a plurality of intermediate times with an inertial sensor and/or a positional sensor in a wearable device; causing a processing unit in said wearable device to retrieve, based on said intermediate time and on previous races of other athletes, a race profile as non-linear function of time over distance (t=f(d)); using the retrieved race profile for determining said information.

Abstract: A method for optimizing the training of athletes, including the steps of during a test, measuring with a portable device (1) a series of acceleration values during a series of N short movements performed by the athlete. Then, calculating with the device a plurality of muscular parameters based on the series of acceleration values. The device then determines a set of training exercises personalized for the athlete, based on the muscular parameters and presents the said set of training exercises to the athlete. The device then verifies the execution of the training exercises.

Abstract: A device (1) for measuring muscular capacity. The device includes removable fastening device (12) for fastening the device to the athlete or to the moved weight (3; 2). An autonomous electrical power supply means (15), and a display (11) are provided. A three-axis accelerometer (14) delivers a sequence of accelerations (a(t)) along the axis of movement of the weight. The sequence includes at least 100 measurements per second over a duration between 1 and 10 seconds. A data processing device (16) determines, at the end of the test, on the basis of the sequence of accelerations, at least one quantity representative of the muscular capacity of the athlete and displays this quantity on the display (11).

Abstract: Method implementing an accelerometer (17) for analyzing biomechanical parameters of the stride of a runner, comprising: (a) fastening a device (1) on the torso of the runner, said device being electrically self-sufficient and comprising a triaxial accelerometer (17), a chronograph (16), a digital processor (19) and a display (11); (b) measuring a sequence of acceleration data in at least the vertical direction (av) using said accelerometer, while the runner runs a certain distance (D) along a running course; (c) during or at the end of said running course, having said processor calculate the biomechanical parameters of the stride, including the lowering (A) of the center of gravity and/or the elevation (E) of the center of gravity and/or the sum of the lowering and of the elevation of the center of gravity and/or the vertical mechanical work of the center of gravity (CG) of said runner, on the basis of said acceleration data, of said distance (D) and of a period of time (T) measured by said chronograph (16

Abstract: A method implementing an accelerometer for analyzing biomechanical parameters of a runner's stride. The method includes fastening a device (1) on the runner that has a triaxial accelerometer (17), a chronograph (16), a digital processor (19) and a display (11). The method measures a sequence of acceleration data in at least the vertical direction using the accelerometer, while the runner runs a certain distance (D) along a running course. During or at the end the running course, the processor calculates the biomechanical parameters of the stride, including lowering the center of gravity and/or the elevation (E) of the center of gravity and/or the sum of the lowering and of the elevation (E) and/or the vertical mechanical work of the center of gravity, based on the acceleration data, of the distance (D) and a period of time measured by the chronograph (16); and displays the parameters.

Abstract: The present invention provides an athletic performance monitoring device having an accelerometer configured such that it can be worn by a user close to the center of gravity of the athlete; and a processing system including a global positioning system. The accelerometer is further configured such that it can wirelessly communicate acceleration data, relating to the acceleration of the user, to the processing system. In addition, the processing system is configured such that it can request acceleration data from the accelerometer only when some events depending on the output of the global positioning system and/or on a clock are occurring. It can also process the acceleration data it receives from the accelerometer to provide athletic performance information. There is further provided a corresponding method for providing athletic performance information. There is also provided an accelerometer for use in an athletic performance monitoring device.

Abstract: Method implementing an accelerometer (17) for analyzing biomechanical parameters of the stride of a runner, comprising: (a) fastening a device (1) on the torso of the runner, said device being electrically self-sufficient and comprising a triaxial accelerometer (17), a chronograph (16), a digital processor (19) and a display (11); (b) measuring a sequence of acceleration data in at least the vertical direction (av) using said accelerometer, while the runner runs a certain distance (D) along a running course; (c) during or at the end of said running course, having said processor calculate the biomechanical parameters of the stride, including the lowering (A) of the center of gravity and/or the elevation (E) of the center of gravity and/or the sum of the lowering and of the elevation of the center of gravity and/or the vertical mechanical work of the center of gravity (CG) of said runner, on the basis of said acceleration data, of said distance (D) and of a period of time (T) measured by said chronograph (16

Abstract: An accelerometer analyzing biomechanical parameters of the stride of a runner, including: fastening a device on the torso of the runner that is electrically self-sufficient and includes a triaxial accelerometer, chronograph, digital processor and display; measuring a sequence of acceleration data in at least the vertical direction using the accelerometer, while the runner runs a certain distance along a running course; during or at the end of the course, having the processor calculate the biomechanical parameters of the stride, including the lowering of the center of gravity and/or the elevation of the center of gravity and/or the sum of the lowering and of the elevation of the center of gravity and/or the vertical mechanical work of the center of gravity of the runner, on the basis of the acceleration data, of the distance and of a period of time measured by the chronograph; and displaying the parameters on the display.

Abstract: The present invention relates to a method for automatically selecting exercises to propose to a user (7) carrying a mobile device (5) comprising a processor (23), wherein the user (7) also wears a motion sensor, for example an accelerometer (3) configured for communicating with the mobile device (5). The method comprises the following steps: classifying a predefined collection of exercises in a database; automatic selection by the mobile device (5) and/or by the accelerometer (3), wherein this selection takes into account at least one feedback from the user. The feedback indicates the sensations of the user (7) whilst performing an exercise.

Abstract: A device (1) for measuring muscular capacity. The device includes removable fastening device (12) for fastening the device to the athlete or to the moved weight (3; 2). An autonomous electrical power supply means (15), and a display (11) are provided. A three-axis accelerometer (14) delivers a sequence of accelerations (a(t)) along the axis of movement of the weight. The sequence includes at least 100 measurements per second over a duration between 1 and 10 seconds. A data processing device (16) determines, at the end of the test, on the basis of the sequence of accelerations, at least one quantity representative of the muscular capacity of the athlete and displays this quantity on the display (11).