Abstract: The movement of a part of human body, e.g. a limb, is monitored. The movement includes N iterated rotations in a plane. A sensing device is fixed to the limb and provides data indicative of the limb movement. These data are processed to generate a rotation signal. Then, portions of the rotation signal corresponding to each movement iteration are identified. To this purpose, a plurality of null-velocity instants is identified, wherein the angular velocity of the sensing device is null. Then, each null-velocity instant is classified as a candidate start/end time or a candidate peak time. Then, a start time, end time and peak time for each iteration are determined as a combination of two candidate start/end times and a candidate peak time that fulfils certain conditions on the values of the rotation signal in correspondence of candidate start/end times and candidate peak times.

Abstract: A motion capture system includes a wearable device (e.g. a glove) suitable for being worn by a user and including one or more markers having respective colors. A video camera acquires a sequence of color frames of the user moving while wearing the glove, while a range camera acquires corresponding depth frames of the same scene. A processing unit processes both color frames and depth frames for reconstructing the 3D positions of the markers. In particular, the depth information provided by the depth frames are used for isolating a validity area within the color frames, and the markers are searched based on their colors, exclusively within the validity area of the color frames. The movements of the user are then captured as a sequence of positions of the markers. Combined use of color information and depth information provide a very reliable and accurate motion capture.

Abstract: The movement of a part of human body, e.g. a limb, is monitored. The movement includes N iterated rotations in a plane. A sensing device is fixed to the limb and provides data indicative of the limb movement. These data are processed to generate a rotation signal. Then, portions of the rotation signal corresponding to each movement iteration are identified. To this purpose, a plurality of null-velocity instants is identified, wherein the angular velocity of the sensing device is null. Then, each null-velocity instant is classified as a candidate start/end time or a candidate peak time. Then, a start time, end time and peak time for each iteration are determined as a combination of two candidate start/end times and a candidate peak time that fulfils certain conditions on the values of the rotation signal in correspondence of candidate start/end times and candidate peak times.

Abstract: A motion capture system includes a wearable device (e.g. a glove) suitable for being worn by a user and including one or more markers having respective colors. A video camera acquires a sequence of color frames of the user moving while wearing the glove, while a range camera acquires corresponding depth frames of the same scene. A processing unit processes both color frames and depth frames for reconstructing the 3D positions of the markers. In particular, the depth information provided by the depth frames are used for isolating a validity area within the color frames, and the markers are searched based on their colors, exclusively within the validity area of the color frames. The movements of the user are then captured as a sequence of positions of the markers. Combined use of color information and depth information provide a very reliable and accurate motion capture.