Recognise Foot for PC

Download	Developer	Rating	Score	Current version	Adult Ranking
Check for APK →	noigroup	14	3.5	1.6	12+

★ ★ ★ Recognise Foot Overview

What is Recognise Foot? Recognise™ is an app that helps reduce pain, improve performance, and assist with rehabilitation in complex pain and injury states. It is used as part of a Graded Motor Imagery program. The app allows users to test and train their ability to quickly and accurately recognize an image of a body area as either left or right.

Software Features and Description

1. Using Recognise™ has been shown to reduce pain, improve performance and assist with rehabilitation in a range of complex pain, and injury states, when used as part of a Graded Motor Imagery programme.

2. This is not an update - Recognise™ is a brand new App, built from the ground up with powerful new features and tools.

3. Visit for more information including videos and free downloads.

4. Liked Recognise Foot? here are 5 Medical apps like Ankle & Foot Pro III; Anatomy Foot Quiz; Ankle & Foot Pro III for iPad; Diabetic foot and shoe;

Download and install Recognise Foot on your computer

Check for compatible PC Apps or Alternatives

App	Download	Rating	Maker
recognise foot	Get App or Alternatives	14 Reviews 3.5	noigroup

Or follow the guide below to use on PC:

Select Windows version:

Windows 7-10
Windows 11

Download and install the Recognise Foot app on your Windows 10,8,7 or Mac in 4 simple steps below:

Download an Android emulator for PC and Mac:
Get either Bluestacks or the Nox App >> . We recommend Bluestacks because you can easily find solutions online if you run into problems while using it. Download Bluestacks Pc or Mac software Here >> .

Install the emulator on your PC or Mac:
On your computer, goto the Downloads folder » click to install Bluestacks.exe or Nox.exe » Accept the License Agreements » Follow the on-screen prompts to complete installation.

Using Recognise Foot on PC [Windows 7/ 8/8.1/ 10/ 11]:

Open the Emulator app you installed » goto its search bar and search "Recognise Foot"
The search will reveal the Recognise Foot app icon. Open, then click "Install".
Once Recognise Foot is downloaded inside the emulator, locate/click the "All apps" icon to access a page containing all your installed applications including Recognise Foot.
Now enjoy Recognise Foot on PC.

Using Recognise Foot on Mac OS:
Install Recognise Foot on your Mac using the same steps for Windows OS above.

How to download and use Recognise Foot App on Windows 11

To get Recognise Foot on Windows 11, check if there's a native Recognise Foot Windows app here » ». If none, follow the steps below:

Download the Amazon-Appstore » (U.S only)
- Click on "Get" to begin installation. It also automatically installs Windows Subsystem for Android.
- After installation, Goto Windows Start Menu or Apps list » Open the Amazon Appstore » Login (with Amazon account)

For non-U.S users, Download the OpenPC software »
- Upon installation, open OpenPC app » goto Playstore on PC » click Configure_Download. This will auto-download Google Play Store on your Windows 11.

Installing Recognise Foot:
- Login to your computer's PlayStore or Amazon AppStore.
- Search for "Recognise Foot" » Click "Install" to install Recognise Foot
- Recognise Foot will now be available on your windows start-menu.

Minimum requirements	Recommended
8GB RAM SSD Storage Processor: Intel Core i3, AMD Ryzen 3000 Architecture: x64 or ARM64	16GB RAM HDD Storage

Recognise Foot On iTunes

Download	Developer	Rating	Score	Current version	Adult Ranking
$5.99 On iTunes	noigroup	14	3.5	1.6	12+

Download on Android: Download Android

Recognise Foot functions

- Test and train tools for Left/Right Discrimination

- Memory and Speed match tools to enhance training

- Graded difficulty levels and personal best challenges

- Detailed onscreen results and graphs to track progress

- Clinical integration tools to export and email results to clinicians or therapists

- Ability to capture and use personal images in training

- Comprehensive explanation of the science behind Left/Right Discrimination and Graded Motor Imagery

- Available for Feet, Hands, Back, Neck, Shoulder, and Knee

- More information, videos, and free downloads available on www.gradedmotorimagery.com

✔ Pros:

- The app is easy to use and can be used in spare time.

- It helps increase the ability to recognize the foot.

- Graded motor imagery with the app is effective in increasing activity in physical therapy.

☹ Cons:

- The app only focuses on right/left discrimination and does not utilize imagined movements or mirror therapy, which are important components of graded motor imagery.

- The app may not be as effective for treating CRPS as it does not include all components of graded motor imagery.

Top Pcmac Reviews

Helped reduce painful CRPS flare.

By VMSmyth (Pcmac user)

My physical therapist recommended this app for me. I was very skeptical. At the time my leg and foot were very swollen, red and so painful I couldn’t stand anything to touch me. I was very diligent about using this app in all my spare time, up to two hours a day for two weeks. I became very good at it. It was even fun! My pain was reduced significantly, my swelling and redness went down and I no longer needed to use the app Because I went into remission. I wish everyone the same results!
Excellent app for CRPS

By Gamegirrrrl (Pcmac user)

Have been using this app for 2 months and my ability to recognize my foot has increased tremendously. Doing graded motor imagery with the app is easy and I can tell it's helping when I imagine moving either foot like one of the pictures it can make my feet feel hot or tingle. Works well to increase activity in physical therapy.
starts out good but then fizzles

By Gdog$76 (Pcmac user)

As someone who has new CRPS, I am grasping at straws for effective treatment. I believe in graded motor imagery and mirror therapy, thus the purchase of this app. So it delivers in Right/Left discrimination but stops there. The app does NOT utilize Imagined Movements or Mirror therapy. Too bad , because those are the 3 components of Graded Motor Imagery.