The ARDA suite of products is powered by an intelligent technology that automatically senses your activity, analyses it, and interprets it to create a training program individually tailored for you. ARDA technology uses a flexible array of biometric and environmental sensors to collect data as an athlete trains, comparing the user’s real-time effort to their optimum effort in the context of pre-established plan and goals.
ARDA technology provides continuous coaching to the individual in real time, while they are actually training, in order to achieve the best possible performance outcome. In addition, the performance data can be read, analysed, and used by others in real-time, whether by a coach, a sports fan, or unit commander in the military.
Synthesising results from multiple tools into useful and accurate measurements bridges a gap for users who are typically unprepared to find meaning in high-density information gathered from multiple sources.
Better measurement, better analysis
ARDA technology’s first advantage lies in its unique interpretation of kinematic and biometric data. Industry standard tools are limited to error-prone analysis of basic speed and heart rate measurements. The extensive research behind ARDA technology has eliminated analysis errors (such as cardiovascular response lag), and expands on these basic measurements by emphasising the importance of acceleration and power in high-performance exercise.
By combining high-resolution GIS data with these accurate biometric readings, PL Tech’s proprietary algorithms can distinguish between an unfit jogger, an experienced athlete running in particularly steep terrain, or even fatigued runners pushing themselves too hard, and give appropriate feedback in each case. With ARDA technology, context matters.
Coach-guided machine learning
An important feature of guided training tools is integration with a coach’s existing techniques. ARDA technology allows coaches to input their own training programs, which can be used to “self-adjust” workout plans in real-time based on the performance of the athlete. Because the system learns about the user over time, this adjustment continually improves.
For example, the system might detect an unusual level of fatigue in a runner and immediately suggest a slowed pace, vocally through headphones. In the team environment, ARDA technology might let a coach know that one of his players is not accelerating at their normal rate, and needs to step it up. Real advice, rather than raw facts.
Because the coach can personally set the criteria and thresholds that the technology uses to adjust the workout, they can enjoy an unprecedented level of control over the training process, even when the athlete is training alone.
Help can now be given to enable athletes to go faster, hurt less, and achieve their goals with minimum wasted time and effort. ARDA technology moves automated coaching and reporting into the present. It doesn’t just tell people what their bodies are doing, it tells them what they need to do next.