TY - GEN
T1 - Red Light, Green Light Game System based on IoT Devices
AU - Kuo, Yu Chiao
AU - Li, Chieh Ling
AU - Yin, Wei Chih
AU - Lin, Chia Yu
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - With the progress of technology, most of the entertainment of the younger generation is related to electronic products. People gradually forget traditional games. Red Light, Green Light has ample liquidity that people worldwide know it. Therefore, to bring traditional games back to children's childhood, we use IoT devices to develop a Red Light, Green Light Game System. This system comprises three modules: an identification module, a distance measurement module, and a notification module. In the identification module, we use the Raspberry Pi equipped with the MediaPipe Pose to detect 33 pose nodes of the human body. Then the model reads the camera image through OpenCV and marks the players' skeleton position. Finally, we compare the players' skeleton positions in the front and rear images to determine whether the player has moved. The ultrasonic sensor "HC-SR04"is used in the distance measurement module to measure the distance. The change of the front and rear distances is used to identify whether a player is passing through the finish line. The notification module places the "TM1637"four-digit display and the speaker. It will display the remaining time and play the sounds needed for the game during the gameplay. The proposed game system allows adults to relive their childhood and introduces traditional games to younger generations.
AB - With the progress of technology, most of the entertainment of the younger generation is related to electronic products. People gradually forget traditional games. Red Light, Green Light has ample liquidity that people worldwide know it. Therefore, to bring traditional games back to children's childhood, we use IoT devices to develop a Red Light, Green Light Game System. This system comprises three modules: an identification module, a distance measurement module, and a notification module. In the identification module, we use the Raspberry Pi equipped with the MediaPipe Pose to detect 33 pose nodes of the human body. Then the model reads the camera image through OpenCV and marks the players' skeleton position. Finally, we compare the players' skeleton positions in the front and rear images to determine whether the player has moved. The ultrasonic sensor "HC-SR04"is used in the distance measurement module to measure the distance. The change of the front and rear distances is used to identify whether a player is passing through the finish line. The notification module places the "TM1637"four-digit display and the speaker. It will display the remaining time and play the sounds needed for the game during the gameplay. The proposed game system allows adults to relive their childhood and introduces traditional games to younger generations.
UR - http://www.scopus.com/inward/record.url?scp=85174908334&partnerID=8YFLogxK
U2 - 10.1109/ICCE-Taiwan58799.2023.10226841
DO - 10.1109/ICCE-Taiwan58799.2023.10226841
M3 - 會議論文篇章
AN - SCOPUS:85174908334
T3 - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
SP - 767
EP - 768
BT - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023
Y2 - 17 July 2023 through 19 July 2023
ER -