The session will also feature two other companies that are leaders in utilizing MEMS in sports. Analog Devices is a MEMS supplier whose technology is being used in the training of competitive rowers, and in concussion monitoring in football helmets. (Click here to see Analog’s Rob O’Reilly demo a “MEMS-enabled inertial sensor head impact telemetry system.”)
Xsens, a company that integrates MEMS into motion-tracking devices for numerous markets, including sports, will round out the session. Xsens’s technology is an industry darling in the field of movement science. Its motion trackers combine high accuracy and ambulatory use for application in biomechanics research, sports science, rehabilitation, and ergonomics.
All four of these companies bring to the table great examples of MEMS in sports. At Sensors in Design on March 29, I look forward to presenting with them the potential of MEMS enabling even smarter athletes -- be it the weekend warrior or the Olympic athlete.
Sensors Conference: Register for our applications-oriented sensors conference, March 28-29, 2012, in San Jose, Calif. Visit the Sensors in Design site to learn more.
Yes, this is an interesting use of MEMS. I remember a few years ago, a company started up that captured the golf swings and baseball swings of stars and sold a system that tracked the user's swings against those of the stars. Cools application for MEMS. Not sure how successful that company was, but it was a clever idea.
Those are some pretty cool examples of MEMS in action on the sports field. Given a segment (and hopefully a growing one) of the population's focus on fitness and competitive sports, seems like a natural application and one that can really give athletes far more control over their training regimens.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.