1) Real-time grasp of mask-wearing rates and estimation of about 10 types of behavior such as applause, banzai, and high fives (shooting with a handheld camera and real-time analysis)
2) Grasping social distancing, such as the average distance between entrants (measurement and analysis using laser radar)
3) Grasping non-intentional vocalizations and cheering of spectators (measurement and analysis using a microphone array)
4) Evaluation of crowding levels and ventilation status within the stadium (measurement using CO2 concentration meters)
※ For details on AIST's research content
※ Future initiatives may be subject to additions or changes.
※ Camera images of the spectator stands will be acquired at a resolution that does not allow for individual identification, and individuals will not be identified. Acoustic sensors will be used to measure crowd noise rather than individual voices, and will not perform voice recognition or record conversations of individual people. Furthermore, this data will not be used for any purpose other than this research.
※ Infection prevention measures for spectators will continue to follow the guidelines previously established by the J.League.
