Recognise Hand is a specialized health and fitness application designed to assist users in managing pain, enhancing performance, and aiding rehabilitation through a structured Graded Motor Imagery program. The app focuses on improving the user's ability to distinguish between left and right body parts, which is crucial for recovery from certain injuries.

With tools like 'Memory' and 'Speed match', Recognise Hand offers an engaging way to train the brain, promoting neuroplasticity. Users can track their progress with detailed onscreen results and graphs, while also being able to export these results to their healthcare provider for further analysis.

This application is particularly beneficial for individuals undergoing physical therapy or those interested in understanding the science behind motor imagery and its impact on rehabilitation.

Recognise Hand stands out with its unique approach to rehabilitation by incorporating scientifically-backed methods such as Left/Right Discrimination exercises. These exercises are essential for re-training the brain's representation of the body after injury.

The app includes graded difficulty levels and personal best challenges to keep users motivated. Additionally, it allows users to capture their own images for personalized training sessions. This feature, combined with powerful clinical integration tools, enables seamless communication between patients and clinicians, making Recognise Hand a comprehensive tool for both personal and professional use.

By leveraging these features, users can expect a tailored experience that adapts to their specific rehabilitation needs, ultimately leading to improved outcomes in pain management and physical performance.

Recognise Hand offers a personalized approach to motor imagery training, which is crucial for rehabilitation and performance enhancement. The app's core functionality revolves around Left/Right Discrimination exercises, enabling users to train their brain's ability to recognize and differentiate body areas effectively.

The application provides graded difficulty levels and personal best challenges, ensuring that each user's experience is tailored to their current cognitive and physical capabilities. This adaptive feature allows for a customized training plan that evolves with the user's progress, optimizing neuroplasticity gains over time.

With tools like 'Memory' and 'Speed match', users can further personalize their training sessions. These features not only add variety to the training but also target specific cognitive functions that contribute to improved motor imagery skills.

By capturing your own images and incorporating them into training, the app delivers a highly individualized experience. This level of personalization ensures that users are engaged with relevant and meaningful content, which is essential for maintaining motivation and achieving optimal rehabilitation outcomes.

Tracking progress is vital in any rehabilitation program, and Recognise Hand excels in visualizing user advancements through detailed onscreen results and graphs. These visual tools provide clear insights into performance trends over time, helping users understand their improvement trajectory in Left/Right Discrimination tasks.

The app's comprehensive tracking system records various metrics such as response accuracy and speed, presenting this data in easy-to-understand graphical formats. This visualization helps users identify patterns in their performance, recognize areas needing improvement, and celebrate milestones achieved during their training journey.

Furthermore, the ability to export and email results directly to clinicians or therapists enhances the progress tracking experience. This feature facilitates professional guidance and adjustments to training programs based on concrete performance data, ensuring that users receive the most effective support throughout their rehabilitation process.

By combining robust tracking capabilities with powerful clinical integration tools, Recognise Hand transforms abstract performance metrics into tangible evidence of progress. This visualization not only motivates users to continue their training but also enables healthcare professionals to make informed decisions about treatment strategies.