Recognise Hand is a specialized health and fitness application designed to assist users in managing pain and enhancing physical performance through a structured Graded Motor Imagery (GMI) program. The app focuses on improving the user's ability to discriminate between left and right body parts, which is crucial for rehabilitation from various injuries and chronic pain conditions.

The core functionality of Recognise Hand revolves around two main activities: testing and training. Users can TEST their proficiency in recognizing images of body areas as either left or right, known as 'Left/Right Discrimination.' Additionally, they can TRAIN their brain using tools that promote neuroplasticity, thus aiding recovery and performance enhancement.

This app is particularly beneficial for patients undergoing rehabilitation, athletes seeking performance improvement, and healthcare professionals who integrate GMI techniques into their treatment plans. By providing detailed progress tracking and clinical integration features, Recognise Hand offers tangible value in both personal and professional health management contexts.

Recognise Hand boasts a variety of sophisticated features tailored to optimize the user's rehabilitation journey. One standout feature is the inclusion of 'Memory' and 'Speed match' tools, which elevate the training experience by challenging the user's cognitive abilities and reaction times. These tools are complemented by graded difficulty levels and personal best challenges, ensuring continuous engagement and measurable progress.

Users can monitor their advancements with detailed onscreen results and graphs, which map out their performance over time. This visual feedback is invaluable for both self-assessment and professional evaluation. Furthermore, Recognise Hand facilitates powerful clinical integration through export and email functionalities, allowing users to share their results directly with clinicians or therapists seamlessly.

An innovative aspect of Recognise Hand is the ability to capture custom images on the device and incorporate them into training sessions. This personalized approach enhances the relevance and effectiveness of the exercises. Coupled with a comprehensive explanation of the science behind Left/Right Discrimination and Graded Motor Imagery, Recognise Hand stands out as an educational and practical tool in the realm of health and fitness applications.

Recognise Hand offers a personalized approach to motor imagery training, which is crucial for effective rehabilitation. The app's graded difficulty levels and personal best challenges ensure that each user progresses at their own pace.

The TEST and TRAIN features allow users to assess their current abilities and create tailored training plans. This includes the ability to capture your own images and incorporate them into training sessions, making the experience highly individualized.

With detailed onscreen results and graphs, users can track their progress over time. This data-driven approach enables continuous adjustment of training intensity and complexity based on real performance metrics.

The app's integration with clinical tools allows therapists to receive emailed reports, ensuring that professional guidance remains an integral part of the personalized planning process.

Visualizing progress is essential in rehabilitation, and Recognise Hand excels in this area through its comprehensive tracking features. The app provides detailed onscreen results and graphs that map user progress in left/right discrimination tasks.

These visual representations help users understand their improvement over time, showing specific areas where they excel or need more practice. The personal best challenges add another layer of visual progress tracking, motivating users to beat their previous scores.

Clinicians benefit from the progress visualization as well, as they can receive exported results via email. This feature enables healthcare professionals to monitor patient advancement remotely and adjust treatment plans accordingly.

The combination of personal image capture and detailed progress tracking creates a unique visual record of each user's rehabilitation journey, enhancing both motivation and treatment effectiveness.