RELIABILITY AND VALIDITY OF A DEEP LEARNING ALGORITHM BASED MARKERLESS MOTION CAPTURE SYSTEM IN MEASURING SQUATS

This study aimed to compare the performance of a traditional marker-based motion capture system and a video-based markerless system in analyzing squats and to determine the reliability and validity of the markerless system. Twenty-one squats were recorded using a marker-based motion capture system and a 2D video camera. We analyzed the 2D video data using Sportip Motion 3D, a deep learning-based 3D human pose estimation algorithm based specifically on sports activities, and the peak lower limb joint angles were calculated by both systems. There was an excellent agreement between VICON and Sportip Motion 3D for all joint angles (hip intraclass correlation coefficient (ICC) = 0.96, knee ICC = 0.92, ankle ICC = 0.86), with average differences of less than 1.3°. These results indicate that squat analysis using Sportip Motion 3D is equally reliable and accurate as the conventional marker-based method

Guidance for peptide vaccines for the treatment of cancer

Recent progress in fundamental understanding of tumor immunology has opened a new avenue of cancer vaccines. Currently, the development of new cancer vaccines is a global topic and has attracted attention as one of the most important issues in Japan. There is an urgent need for the development of guidance for cancer vaccine clinical studies in order to lead to drug development. Peptide vaccines characteristically have the effect of indirectly acting against cancer through the immune system - a mechanism of action that clearly differs from anticancer drugs that exert a direct effect. Thus, the clinical development of cancer peptide vaccines should be planned and implemented based on the mechanism of action, which differs significantly from conventional anticancer drug research. The Japanese Society for Biological Therapy has created and published Guidance for peptide vaccines for the treatment of cancer as part of its mission and responsibilities towards cancer peptide vaccine development, which is now pursued globally. We welcome comments from regulators and business people as well as researchers in this area. Guidance for Peptide Cancer Vaccines

A BIOMECHANICAL ANALYSIS OF 1-ON-1 OFFENSE'S FEINT MOTION WITH A DRIBBLE IN BASKETBALL

The purposes of this study were to classify 1 an-I feint motion with a dribble in basketball by the cluster analysis and to investigate the biomechanical characteristics of the classified one. The subjects were ten male varsity basketball players. The 1-on-1 feint motion with a dribble in basketball were classified into 4 types; Anterior-Posterior (AP) type, Shaking- Left- Right (S-LR) type, Shaking-Anterior-Posterior (S-AP) type, Left-Right (LR) type by the Ward method of the hierarchical duster analysis with Euclidean distance measure based on the relative COM velocity and relative foot position. The AP and LR types that an offensive player took large step at switching without shaking the COM were likely to be easy to defend, but shaking the COM was an effective technique to get a head of a defensive player