Machine Learning Applications in Sports, Fitness and Health

How Machine Learning and Artificial Intelligence are applied in sports to improve player’s performance?

Technology has entered every sphere of our lives, Artificial Intelligence (AI), Machine Learning (ML) and Data Analytics are changing the paradigm. Technology is everywhere, how sports can remain unscathed?

Our “Sensei” Sports Wearable Platform with Edge AI

Artificial Intelligence in sports is an emerging field, though, the trends suggest AI is the next big thing in sports with its promising features; sport is going to witness radical changes in coming years. Because AI aided performance management and training enables a prompt and automated evaluation of sport-specific parameter values. As AI scales better on large scale with quantitative metrics than the human capability.

What is Artificial Intelligence?

AI is the intelligence created with the use of machine and lots of data. A machine is programmed to imitate human cognitive abilities such as learning and problem-solving using data and algorithms. Consequently, the machine starts learning from its own experience with the help of these algorithms and data provided.

How Machine Learning is applied in Sports?

With the advent of AI in sports, the machine and analytics are being used to provide a feedback mechanism for player’s performance and to set goals. Technological devices are being built to improve sport performances. One of the most featured devices is the wearable wrist band, specifically designed for sports loving individuals, they provide a promising and comfortable platform for sports analytics.

With AI power, these wearable devices have in-built sensors to record the movements of a player and monitor the natural phenomena. These wrist bands are capable of tracking and analysing microscopic variations to maximise the player’s proficiency. With the sensor readings of heart rate and continuous movement information, they show variations in the case of any discrepancy.

This device provides a ‘quantified self’ statistics derived from performance measurements. The cumulated stats allow the software to learn from incoming readings and identify factors that affect the measurements, and get better with more and more data over time. By combining these data with powerful smartphone and web apps, players can be provided with real time actionable insights and guidance.

Like in any sport, a coach provides a guidance by watching strokes, spotting errors, and inefficiencies in the player’s form. However, the judgement and targets usually come from the coaches as per their personal evaluation and have human limitations.

For example, in Tennis, these bands provide information on the speed, spin, and placement of a tennis serves, enabling a mechanism to capture valuable metrics that were previously difficult to gather or obtained manually. But now previously undetectable metrics are available in an instant. These statistics, then could lead to draft a better vision for trainings.

How a wearable device functions?

A wrist-worn device easily read different movement patterns for a forehand shot, compared with a backhand; it detects similar movement patterns and group similar data together. It creates movement classifications for events like serves, and shots such as forehand, backhand, and volleys providing a statistical analysis-based feedback. This helps to develop real-time game strategies and improve playing techniques, making right decisions and create alerts in the case of a potential decline in the performance. This device can easily help the coach to get multiple players better at their games simultaneously.

It is every sport person’s dream, a technological aid for performance improvement and guidance.   

Wouldn’t you be delighted to track your record on every stroke, identify your areas of improvement, detect opponent’s strengths and weakness with the factual accuracy?

OptimusLogic’s ML Solution for Sports, Health & Fitness:

We, Optimuslogic Systems, are working to bring this value in the field of sports, fitness and health to users in India, with an ongoing design to create world class devices with remarkable application of Sensors, Product Design, Artificial Intelligence (AI), Machine Learning (ML) and Data Analytics. 

We internally call our wearable, “The Sensei” – or the Teacher.
“The Sensei” is currently learning sports actions by itself using ML, and it is indeed proving to be a fast learner, thanks to SensiMLTM Toolkit – the breakthrough edge AI development tool for the smallest of  IoT devices, which runs on our custom ultra-low power sensor device platform.

Once the Sensei masters its game to reach 90%+ accuracy, it will teach end users how to play well and be healthy! The Sensei can learn human actions in a matter of days and be able to classify the movements without connecting to the Internet or cloud. And yes, we can pair the Sensei with any of your cloud, apps or systems to get a connected game play or fitness experience.

If you are looking for a similar ML powered system to integrate into your product, that can learn and understand human and machine movements quickly, please contact us at

Watch this space for more updates on “The Sensei” …

OptimusLogic is now the 1st Authorized Design Partner for Quicklogic Corporation’s chipsets & software

This marks an interesting global milestone for us with access to Quicklogic’s resources – EOS S3 chipset & the SensiML suite for creating Wearables & IoT Devices, with Edge AI.

We are now signed up with global customers for multiple turnkey product designs for Wearables with Sports & Health Analytics using Quicklogic’s chipsets and our product design skills.

Accurately Classify Sports Movements with Edge AI powered Smart Watch…We call it “The Sensei” .

Our sports watch is now in development. We call it “The Sensei” – It is currently learning sports actions all by itself using machine learning, and it is indeed a fast learner! Once it completes its learning to reach 90%+ accuracy, it will teach end users how to play well and be healthy! Watch this space for more updates…