I'm a big fan of DIY and this is very creative, but I'm a little bemused on the utility. Cutting-edge bike techies will buy anything, but as a non-cutting edge biker I would never put a distraction like this in my headlight. I would much rather maintain awareness of my surroundings than to know I was going exactly 15 mph when that cabbie broadsided me...
Great post. I know several guys who are really into biking and speed racing. I mean they do 45 or 50 miles on weekends; for around here with the hills, is insane. They love it though. I agree with Charles, this concept will be picked up quickly when the hardware designs are solidified. Adding GPS is a definite must and will provide value-added to the entire concept. Could also be made an option. I'm sending this link to my friends to get their "take" and will respond when they get back to me. A great idea.
I agree, Al. It's a great article and a great idea. If I were going to bet on a technology that will get snapped up by the marketplace, I'd bet on this. I think this guy has something big here. Like you, Al, I also like the other apps, especially the heart rate monitor.
Excellent article. I agree that there seems to be potential interesting iterations of this technology. Google maps and heart rate monitoring seems like great ideas, and it sounds like you could provide a complete set of "dashboard intruments" to potentially measure speed, distance, etc.
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
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.