（２）Measurement Environment and Instruments.6：The skeltal model has been corrected.2：English page of AIST Gait Database 2019 released.In order to solve this problem, we started to distribute new database “AIST Gait Database 2019.” In this database, motion-capture-system data of ten gait cycles (5 gait cycles started from right heel contact and 5 gait cycles started from left heel contact) obtained from 300 participants were included. However, these data of gait cycles were all started from right heel contact, and therefore could not mention the difference between right and left leg. Two years later from our first open database, we started to distribute “AIST Gait Database 2015.” In this database, motion-capture-system data of five gait cycles (right heel contact to next right heel contact) obtained from 214 participants were included. In “AIST Gait Database 2013,” marker-name labeled raw data measured by optical motion-capture system of one gait cycle (right heel contact to next right heel contact) obtained from 139 participants were included. Release of AIST Gait Database 2019Īs the national research institute in Japan, we started to provide a large volume (more than 100), raw dataset measured by optical motion-capture-system (AIST Gait Database) in 2013. The dataset provides the opportunity for kinematic analysis of different combat sport techniques in attacking and defensive situations.※5 : Suspend "AIST Gait Database 2019" distribution. The recordings are available in C3D file format. The resultant dataset contains a total of 1,411 recordings, with 3,229 single kicks and punches shown in these recordings. Three dimensional trajectories of 39 reflective markers (positioned according to the Vicon system documentation for the Plug-In Gait full-body marker set) were recorded. The data presented was captured using a Vicon optical motion capture system with Plug-In Gait software. Each participant undertook a minimum of two trials per condition. Each technique was performed approximately three times per recording (i.e., to create a single data file), and under three conditions where participants kicked or punched (i) in the air, (ii) a training shield, or (iii) an opponent. The dataset presented consists of recordings of 37 Kyokushin karate athletes of different ages (children, young people, and adults) and skill levels (from 4th dan to 9th kyu) executing the following techniques: reverse lunge punch (Gyaku-Zuki), front kick (Mae-Geri), roundhouse kick (Mawashi-Geri), and spinning back kick (Ushiro-Mawashi-Geri).
0 kommentar(er)
