摘要
随着物质生活水平的提高,越来越多的人开始关心自身的健康状态,并积极投入健康运动。电动跑步机体积小、节约空间、操作简便,已经成为常用的健身器材之一。然而,在传统电动跑步机的使用过程中,跑步者必须被迫调节自身速度去适应跑步机预设的固定速度,严重影响了跑步者运动时的主动性和轻松感,也限制了电动跑步机的应用拓展;机械跑步机虽能实现速度的自跟随,但其对运动者肌肉关节的损伤不容忽视。因此,一种能够判断运动者加减速意图,并实时控制跑步机电机速度的技术变得尤为重要,速度自适应跑步机在日常锻炼与医疗复健领域都有着广阔前景。从计算机视觉的角度着手,基于对运动者走、跑的视频图像序列的处理,取得人体的运动特征并对其进行分析,提出实时控制跑步机电机速度的方案。通过实验验证,最终实现跑步机的速度自适应控制。
With the improvement of people＇ s living standards,an increasing number of individuals are concerned about their own health and are active in physical exercise, and electric treadmill has the advantages of small volume, saving space, easy operation, which has become one of the most popular fitness equipment. However, for the traditional electric treadmill, the runners are forced to adjust their speed to adapt the preset fixed speed of the treadmill, and this situation seriously affects the initiative and the relaxed feeling of the runners, and also limits the application extension of electric treadmill. Mechanical running machine can realize speed since followed,but the damage of activists muscle joints cannot be ignored. Therefore,a kind of real-time control treadmill which can judge acceleration intention has become particularly important,at the same time,adaptive speed treadmill in daily exercise and medical rehabilitation field has broad prospects. This topic is based on the perspective of computer vision, analysis of the human body movement characteristic, proposed the scheme of real-time speed control,finally realizing the adaptive speed control of treadmill.
出处
《计算机技术与发展》
2016年第10期92-94,98,共4页
Computer Technology and Development
基金
国家科技支撑计划课题(2013BAH14F01)
