Real time data presentation and interpretation is key.
How about having a practice mode that lights up the srting lattice to immediately display the placement, force and spin? The placement, color and shape(eccentricity) of the impact region string display could do this almost instantly.
If you have your eyes on the ball, you can pick up this feedback with little or no distraction, Later your coaching video can be analysed along with your bodykinematics to see the effect of the strike on the racquet and the ball trajectory, without the need to analyse graphs for every impact.
It might even speed up the process of beginners learning the "feel" of the racquet.
Definitely true, Jack. This is not the kind of technology that provides a lot of real time benefits. You need to be willing to use this technology to gather information, and then go over the results at a later time.
I would think that this would work as part of a coaching suite of devices, not for an individual - similar to some of the swing analyzers available to dedicated golfers. Probably not a stand-alone application, but something combined with video, an analyzis system, and a person who really knows what it all means.
I can see other possibilities for the technology and think this has significant application for describing kinetic movement.As a matter of fact Charles, you have given me an idea for the possible solution to a "nagging" problem involving the destruction of a motion sensor in a diesel "big rig".I intend to contact the company involved with the technology and start the process of "discovery".Who knows, the great sport of tennis may not be the only application.Many thanks and well done.
I discovered commercial motion capture devices recently when writing about robot gesture recognition experiments. The material is a sensor tape containing a 3D bend-and-twist sensor based on fiber optics, which can be custom-designed by the user to monitor the bending and twisting of a person's body and limbs. The "tape" proves accurate positioning and orientation information all along its length, and is typically used in virtual reality, motion tracking, and robotic control applications.
I don't this this will work for the casual player other than a gee-whiz effect. For the serious player or the semi pro thinking about making slight changes to improve their game it'd be a huge time saver. Think about the number of good high-school and college players who are having problems with consistency and how quick the feedback would be. There are already shoes that sense pressure and acceleration, wrist sensors for arm speed, the racket completes the package.
As an avid tennis player myself, I am not sure how helpful this would be in improving one's game... You need to be able to hit a stroke and analyze it right away in order to make corrections. A video of your play is absolutely THE best way to do this. Simply seeing an aggregation of data (or even strok-by-stroke data) about your strokes will just tell you where you are hitting the ball by and large and MAY indicate, for instance, that you're reaching for the ball or running into it...
I agree with you, Ann - this sounds like a really cool idea but it must be a HUGE challenge to interpret the data accurately and so that it is immediately useful. I am also wondering about the ruggedness of the sensors and associated electronics and if it would have a psychological effect on the person's play knowing they were there...
I also see your point about motion capture devices. I usually ask someone to video me when I am trying to understand something unusual going on when I am riding my horse - it is amazing what I can see in a video that I can also freeze for problem solving. It will be interesting to see how these tennis rackets "play" out! (pardon the pun LOL)
Festo's BionicKangaroo combines pneumatic and electrical drive technology, plus very precise controls and condition monitoring. Like a real kangaroo, the BionicKangaroo robot harvests the kinetic energy of each takeoff and immediately uses it to power the next jump.
Design News and Digi-Key presents: Creating & Testing Your First RTOS Application Using MQX, a crash course that will look at defining a project, selecting a target processor, blocking code, defining tasks, completing code, and debugging.
Focus on Fundamentals consists of 45-minute on-line classes that cover a host of technologies. You learn without leaving the comfort of your desk. All classes are taught by subject-matter experts and all are archived. So if you can't attend live, attend at your convenience.