摘要
针对户外劳动环境的特点,深入研究人体单点姿态数据采集以及人体姿态识别技术。开发高效的姿态轨迹描述算法,进一步优化相关程序,使其更符合实际应用需求。结合先进的姿态传感器技术,实现人体数据的快速、准确采集、处理与识别。将这些技术有机集成,以提升户外劳动工作效率,优化户外劳动者工作管理方式。同时,通过实时监测户外劳动者的身体姿态与动作,实现对其身体健康状况的智能监测,并提供及时、个性化的健康建议。户外劳动者工作安全预警和指导,对提高其工作效率和远程健康维护有着重要意义。
According to the characteristics of outdoor labor environment,the single-point posture data acquisition technology of human body and the human posture recognition technology were deeply studied.Efficient posture trajectory description algorithm was developed,and the relevant procedures were further optimized to be more in line with the practical application requirements.Combined with advanced posture sensor technology,the rapid and accurate acquisition,processing and recognition of human data were realized.These technologies were organically integrated to improve the efficiency of outdoor labor work and optimize the management mode of outdoor laborers.Meanwhile,through real-time monitoring of the body posture and movements of outdoor laborers,the intelligent monitoring of their physical health status was realized,and timely and personalized health recommendations were provided for outdoor laborers.The early warning and guidance of outdoor laborers'work safety is of great significance to improve the work efficiency and remote health maintenance of outdoor laborers.
作者
邓兴龙
欧阳娟
赵江平
DENG Xinglong;OUYANG Juan;ZHAO Jiangping(Zhongshan Longning Automation Equipment Co.,Ltd.,Zhongshan 528437,Guangdong,China;Guangdong Lingnan Institute of Technology,Guangzhou 510663,Guangdong,China)
出处
《农业装备与车辆工程》
2024年第7期109-113,共5页
Agricultural Equipment & Vehicle Engineering
基金
2022年度广东省普通高校特色创新类项目(2022KTSCX365)
2023年广东省普通高校重点科研平台和项目(2023ZDZX3104)。
关键词
传感器
姿态识别
穿戴设备
sensor
attitude recognition
wearable devices