For years, professional athletes have used data analytics to capture and measure their best performances and then train to repeat them. In the past that has required a team of people and expensive motion capture technology to isolate those winning moves. But now with the advancement of wearable technology and some innovative artificial intelligence software, a French start-up called PIQ has launched a new product that they claim will to identify an athletes’ “Winning Factors”, highlighting the key strength they should leverage on to succeed.
Over the past two years, PIQ has invested $15 million in R&D and employed a team of 50 engineers to develop something called GAIA, “an Artificial Intelligence system that autonomously understands sports movement”.
GAIA is capable of breaking down and analyze sports movements via specific motion-capture algorithms. According to PIQ, “Over the 2 years of R&D, GAIA has analyzed thousands of athletes and millions of movements growing its own automatic learning curve further expanding its intelligence day after day. This multi-algorithmic machine-learning intelligence is a result of both fundamental and applied research introducing the capacity to understand and analyze microscopic variations in sport movements.”
This artificial intelligence technology is embedded into a ultra-high performance wearable sensor – the PIQ ROBOT. The combination of GAIA and PIQ ROBOT enables athletes to identify their Winning Factors, highlighting the key strength they should leverage on to succeed
Cédric Mangaud, CEO and co-founder, declared: “Our technology enables athletes, not only to measure their performance, but also to benefit from personalized advice and get closer to victory. Our goal is now to integrate this technology in sport devices to offer athletes a fully integrated experience”.
The wearable contains a powerful nano-computer capable of analyzing more than 195,000 data points per minute in real time.
In their announcement, the company positions the PIQ Robot as, “a powerful nano-computer capable of analyzing more than 195,000 data points per minute in real time”. This processing capacity can measure millions of actions generated in an activity or game allowing an athlete to compare past performances on a specific day as well as measure them versus the community’s overall performance.
PIQ aims to make this major technological innovation available to as many people as possible.
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