Recognise Hand is a specialized health and fitness application designed to assist users in managing pain, enhancing performance, and supporting 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 its comprehensive training tools, Recognise Hand offers features such as 'Memory' and 'Speed match' games, graded difficulty levels, and personal best challenges that help harness the brain's neuroplasticity. Users can track their progress with detailed onscreen results and graphs, making it an essential tool for both patients and clinicians.

The app also provides powerful clinical integration options, allowing users to export and email their results directly to healthcare providers. This feature ensures that therapy is closely monitored and adjusted as needed, offering a personalized rehabilitation experience.

Recognise Hand stands out with its unique approach to rehabilitation by incorporating scientifically-backed methods into an engaging mobile application. It includes various tools like 'Memory' and 'Speed match', which are specifically designed to enhance the user's recognition skills progressively.

Users can benefit from graded difficulty levels and personal best challenges that keep them motivated throughout their rehabilitation journey. The app captures user-generated images, enabling personalized training sessions that adapt to individual needs.

Furthermore, Recognise Hand offers detailed analytics and reporting capabilities. Users can visualize their progress through graphs and even share these insights with therapists via email, ensuring that treatment plans are effectively managed and updated based on real data.

Personalized planning in Recognise Hand is a key feature designed to cater to individual rehabilitation needs. This app supports users through a structured program known as Graded Motor Imagery, which includes Left/Right Discrimination tasks.

The application provides graded difficulty levels and personal best challenges, ensuring that each user's experience is tailored to their current abilities and progress. This personalized approach helps improve performance and assists with rehabilitation from various complex pain and injury states.

Users can capture their own images on their device and incorporate them into their training routines. This customization enhances the relevance and effectiveness of the neuroplasticity training provided by the app.

By leveraging personalized planning, users benefit from a more engaging and effective rehabilitation process. The app's detailed onscreen results and graphs further enable users to track their progress and adjust their training as needed.

Recognise Hand offers robust progress visualization tools that allow users to map their rehabilitation journey effectively. Through detailed onscreen results and graphs, users can easily monitor improvements in their ability to recognize left or right body images.

The app tracks performance metrics such as speed and accuracy during Left/Right Discrimination tasks. These metrics are presented in an accessible graphical format, providing clear insights into the useru2019s progress over time.

Additionally, powerful clinical integration tools enhance progress visualization by enabling users to export and email their results directly to their clinician or therapist. This feature facilitates better communication and more informed decision-making regarding the rehabilitation process.

With comprehensive progress visualization, users gain motivation and clarity as they witness tangible evidence of their improvement. This visual feedback is crucial for maintaining engagement and achieving successful rehabilitation outcomes.