Abstract: A method for controlling a motion tracking system, including the steps of: digitally processing sound waves detected by a plurality of microphones so as to detect a voice of a user and estimate a first direction of the user; digitally processing electromagnetic waves captured by antennas so as to detect data packets transmitted to a computing apparatus by sensors and estimate second directions of each sensor; digitally averaging the second directions so as to provide an average direction for the sensors; digitally computing a difference between the first direction and the average direction; and starting to digitally track motion of the user based on measurements of each sensor when the computed difference does not exceed a predetermined difference threshold.

Abstract: Disclosed is a computer-implemented method. The method comprises processing, by at least one computing device, exercise measurements taken by a pressure sensor positioned adjacent to a pelvic floor muscle (PFM) of a person at least during performance of a physical exercise, wherein the exercise measurements are indicative of a pressure exerted on the pressure sensor and an orientation of the sensor. The method also comprises calibrating, by the at least one computing device, the pressure of the processed exercise measurements at least based on the orientation of the processed exercise measurements.

Abstract: A method for assessing whether one or more trackers are positioned on a person according to a predetermined configuration of tracker positions, comprising: transmitting, from a computing device to at least one tracker of the one or more trackers, an instruction to change an operation of the light emitter of the tracker to which the instruction is transmitted; taking one or more images by the optical sensing device; digitally processing the one or more images to digitally determine both first positions of a plurality of joints of the person on each image, and second positions of the one or more trackers positioned on the person on each image based on both a light of the light emitter of each of the one or more trackers and the transmitted instructions; digitally determining on which body member each of the one or more trackers is positioned on the person based on the first and second positions; and digitally comparing the position of each of the one or more trackers on the body members with the predetermined c

Abstract: Disclosed is a computer-implemented method. The method comprises processing, by at least one computing device, first measurements taken at least while a person performs a predetermined physical exercise, wherein the first measurements are taken by at least one motion tracking device, at least one optical sensor, or both. The method also comprises processing, by the at least one computing device, second measurements taken at least while the person performs the predetermined physical exercise, wherein the second measurements are taken by a pelvic sensor. The method also comprises determining, by at least one computing device, whether the person has performed the predetermined physical exercise based on the first measurements and the second measurements according to criteria associated with the predetermined physical exercise.

Abstract: A method including: wirelessly transmitting and receiving data packets between first and second apparatuses; determining first and second angles of arrival at each apparatus for electromagnetic waves of the received data packets; providing first and second directions of arrival corresponding to the angles of arrival; converting the first and second directions into a global frame; projecting the first and second converted directions onto a horizontal plane; and computing a first drift estimate for a gyroscope or IMU of the first apparatus relative to the second apparatus, and/or computing a second drift estimate for a gyroscope or IMU of the second apparatus relative to the first apparatus, the first drift estimate being based on a difference between the projected second direction and a mirrored projected first direction, and the second drift estimate being based on a difference between the projected first direction and a mirrored projected second direction.

Abstract: A method for assessing whether one or more trackers are positioned on a person according to a predetermined configuration of tracker positions, comprising: transmitting, from a computing device to at least one tracker of the one or more trackers, an instruction to change an operation of the light emitter of the tracker to which the instruction is transmitted; taking one or more images by the optical sensing device; digitally processing the one or more images to digitally determine both first positions of a plurality of joints of the person on each image, and second positions of the one or more trackers positioned on the person on each image based on both a light of the light emitter of each of the one or more trackers and the transmitted instructions; digitally determining on which body member each of the one or more trackers is positioned on the person based on the first and second positions; and digitally comparing the position of each of the one or more trackers on the body members with the predetermined c

Abstract: A method comprising: wirelessly receiving, at a first device, at least one data packet from each second device of a plurality of second devices arranged at predetermined locations of a target; detecting an angle of arrival of each at least one data packet wirelessly received of at least a pair of second devices; calculating at least one angle difference between the angles of arrival associated with the pair of second devices, or between the angles of arrival associated with each of the pair of second devices and a predetermined direction; and determining whether the target is at a predetermined distance range from the first device by estimating the distance based on the at least one angle difference, and a predetermined distance between the predetermined locations; or checking whether each of the at least one angle difference is within a predetermined angle range for the predetermined locations of the pair of second devices. Also, a method for making such determination based on angles of departure.

Abstract: Methods for automatically monitoring operation of a motion tracking system and actuating based on the operation, the motion tracking system comprising both a computing device, and a plurality of inertial measurement units adapted to be arranged on a body of a user. The computing device processes measurements of the units and sound captured by at least one microphone to provide flags related to the motion tracking procedure with regards to the motion input and the sound input, and actuates when motion-related flags and sound-related flags have been provided.

Abstract: A method: includes the following steps: processing, by a computing device, at least a stretch value per strap of straps of a motion tracking system; comparing, by the computing device, the stretch value of each strap or a length value derived therefrom with a stored baseline value of the respective strap, the stored value being associated with the same person, and the length value being representative of a length of a respective strap at least based on the respective stretch value. The method further includes executing, by the computing device, a corrective action at least when one of the comparisons made exceeds a predetermined threshold. Also, a motion tracking system, a data processing device, a computer program, and a computer-readable medium are related.

Abstract: A method for establishing wireless communications connections between sensors and a computing apparatus of a motion tracking system include the steps: processing radiofrequency signals received by the computing apparatus and transmitted by each sensor, each radiofrequency signal including an advertisement package of the respective sensor; providing a number of RSSI per sensor based on the processed radiofrequency signals; computing and storing mean RSSI values based on the number of RSSI so that a number of RSSImean values is computed per sensor; computing velocities of change of RSSImean, vRSSI, based on the number of RSSImean values so that a number of vRSSI values is computed per sensor; establishing the wireless communications for which at least the following is fulfilled: the computing apparatus determines that at least some vRSSI values within a first period of the number of vRSSI values of each sensor has a modulus greater than a predetermined minimum velocity.

Abstract: A method including: wirelessly transmitting and receiving data packets between first and second apparatuses; determining first and second angles of arrival at each apparatus for electromagnetic waves of the received data packets; providing first and second directions of arrival corresponding to the angles of arrival; converting the first and second directions into a global frame; projecting the first and second converted directions onto a horizontal plane; and computing a first drift estimate for a gyroscope or IMU of the first apparatus relative to the second apparatus, and/or computing a second drift estimate for a gyroscope or IMU of the second apparatus relative to the first apparatus, the first drift estimate being based on a difference between the projected second direction and a mirrored projected first direction, and the second drift estimate being based on a difference between the projected first direction and a mirrored projected second direction.

Abstract: A method for allowing or disallowing control of a motion tracking system by means of voice, comprising: digitally processing sound detected by each microphone of the at least one microphone; digitally computing SNR by computing both first energy of a voice signal in the detected sound and second energy of noise in the detected sound; digitally processing electromagnetic waves captured by each antenna of the at least one antenna so as to detect data packets transmitted to the computing apparatus by each sensor of the plurality of sensors, each data packet including RSSI of a respective sensor; digitally computing distance between each sensor and the computing apparatus based on the RSSI of the data packets received from the respective sensor; digitally computing a percentage of sensors of the plurality of sensors having at least one of: a distance exceeding a predetermined maximum distance threshold, and a change in distance exceeding a predetermined maximum changing distance threshold; and digitally setting a

Abstract: Motion tracking systems and methods for determining how trackers are positioned on body members of a person, the methods including: wirelessly receiving, by a computing device, one or more first data packets of each tracker; digitally determining a first direction in which the computing device is relative to the respective tracker by computing an angle of departure of the one or more first data packets; digitally determining based on the first directions, a second direction in which each tracker is relative to one or more other trackers; and digitally determining on which body member is each tracker positioned on the person at least based on both the second directions and the body members requiring to have a tracker positioned thereon. Also, systems and methods in which angles of arrival are computed for determining the first directions.

Abstract: A method for controlling a motion tracking system, including the steps of: digitally processing sound waves detected by a plurality of microphones so as to detect a voice of a user and estimate a first direction of the user; digitally processing electromagnetic waves captured by antennas so as to detect data packets transmitted to a computing apparatus by sensors and estimate second directions of each sensor; digitally averaging the second directions so as to provide an average direction for the sensors; digitally computing a difference between the first direction and the average direction; and starting to digitally track motion of the user based on measurements of each sensor when the computed difference does not exceed a predetermined difference threshold.

Abstract: A method for determining cause of a disconnection between a computing device of a motion tracking system and one or more sensors of the system, the sensors arranged on a person's body, the computing device configured to at least receive data through a wireless communications connection. Each sensor is configured to at least transmit data through the connection. The method includes measuring a signal strength of the connection with each sensor while the communications are established; processing signal strength values corresponding to a sensor when it has been disconnected from the computing device to determine if the sensor has been disconnected due to a distance increase between the person and computing device; and providing or commanding the provision of at least one user perceptible signal when the computing device has determined that at least one sensor has been disconnected due to a distance increase between the person and computing device.

Abstract: The present invention intends to solve the problem of automatically analysing the movement performed by a subject. Disclosed is a 3D motion tracking method that allows a user to perform a control movement and so generating a tunnel of motion. Using the tunnel of motion a user can repeat the motion but limiting the movement within the boundaries of the tunnel. The disclosed motion analysis system and methods can be used in medical rehabilitation, sport, science, gaming, robotics, cinema or force feedback applications.