According to the fact that the current design of micro-spectrometer needs to replace CCD,PDA device frequently,using Cypress’s AD2131Q and Cyclone series FPGA design a universal acquisition system which can be applied to a variety of linear array CCD and small area array CCD,the design of 16In8Out asynchronous FIFO provides 192Kb cache.EZ-USB adopts special fast bulk transfer mode,which greatly improves the speed of data transmission.The system achieves a variety of linear array CCD collection and correlated double sampling(CDS)technique,it features speediness,convenience and modularization.

The author has developed the same three-dimension digital shot dynamometry system as international standard shots of sportsmen and sportswomen. Its core is force sensor of inside resistance strain type. This system can carry on wireless measurement alone, and also carry on the synchronous measurement of kinematics and dynamics with the camera, three-dimensional dynamometry platform. It can examine the force, force curve, resultant force value, curve and impulse of human bodies to shot in the three directions of X, Yand Z. This system is high in precision and reacts quickly. This system realizes unimpeded and hurtles chec'k. It is safe and reliable. It can continuously measure, record, display, store, information processing and output and print, etc. Training experiments prove that this system is not only a kind of scientific research instrument but also a kind of training monitoring system. It will offer the strong assurance to coach and athletes' scientific training.

This paper presents a novel three-axis force sensor for measuring the throwing forces of shot-put athletes. The shot-put sensor has been designed and fabricated with almost the same size and weight as the standard shot for open males. Instead of using a common shot, the shot-putters can use this shot-put sensor to make their throws. The sensor can simultaneously detect applied forces along three orthogonal directions with reasonably high accuracy. With the help of a commercially available high-speed photography system, field tests have been performed. The experimental results show that each phase of the throwing motion can be clearly identified by analysing the force curves and it is easy to distinguish between good throws and faulted throws. In this manner, the shot-put sensor serves as a powerful tool for coaches and sports scientists to make scientific researches on shot-put techniques. It also provides an intuitive and reliable guidance for the shot-put athletes to improve their skills.

为了满足高帧频、大面阵CCD相机数字视频实时存储要求,设计出基于SCSI协议处理器(FAS466),脱离计算机平台的图像数据直接存储系统。该系统采用FPGA芯片编程实现DMA控制功能,从而协调SCSI协议处理器实现数据的传输。此外,系统采用双硬盘交替存储方案以提高存储速度,实现存储流量达70MBps。本文介绍了该设备的系统结构和软硬件设计方法。

介绍了一种数字铅球,它的质量与外形尺寸均与标准比赛用球一致,能够实时感知铅球运动员在投掷过程中人手施加于铅球的三维力信息.详细论述了此传感器的机械结构、数据采集系统及标定方法,并通过标定实验对传感器的线性度进行了验证,证明其具有良好的线性度.数字铅球具有准确度高、可靠性高、抗干扰能力强等特点,可用于铅球运动员的实际训练中.

人体运动仿真是由生物力学,计算机图形学,机器人学等学科交叉而形成新兴的研究方向,在许多领域都有着重大的理论和实用价值,本文将总结人体运动的建模与仿真方法,提出一种基于力信息传递的建模方法,并进一步讨论了其未来发展的趋势.

A new sensor is introduced to measure the three-axis force of shot put thrown in real time. An elastic body based on E-style chaff was embedded in the shot-put inner part. The new sensor has the same characteristic in mass, diameter and center of gravity with the ordinary shot put. And the system can use it to measure the strain of the elastic body, then by calibration and compensation the strain could be transferred into the shot put throwing force. The measuring results are highly accurate, work reliability and better anti-jamming in practice and the new sensor can be applied in the daily training. Since the shot put is deflected and vibrated during throwing, measurement of force applied to the shot put will provide important information for the shot putter in how to better throw the shot put.

在研究了人体运动的基础上提出了一种基于改进的Elman网络模型的人体肌肉动力学模型,给出了网络的学习算法,并以运动员举重提铃动作的下肢肌肉运动为研究对象,建立了最优关节力矩逼近的Elman肌肉动力学网络模型.结果表明该模型通过预测肌肉神经控制激活参数,较好地拟合了关节力矩曲线.

In this paper, a recognition method of force of foot about athlete is introduced. This method is based on the theory of FMMNN. This method achieves a good performance when it is applied to identify actions of weight lifting. This work lays foundation of our digital sportsman human model and simulation.