DeePLT: 智能家居中基于行为轨迹预测的个性化照明系统（英文版）

英文标题：DeePLT: Personalized Lighting Facilitates by Trajectory Prediction of Recognized Residents in the Smart Home中文摘要：该论文提出了基于机器学习的智能照明系统，通过轨迹预测在识别用户的即时未来位置上为每个人个性化地调整照明，其中包括人体检测、人脸识别、人体跟踪和轨迹预测四个模块，能够较快且高效地应用所需光照，提供更加舒适的住宅环境。英文摘要：In recent years, the intelligence of various parts of the home has become oneof the essential features of any modern home. One of these parts is theintelligence lighting system that personalizes the light for each person. Thispaper proposes an intelligent system based