Recoognise Hand APK

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Using Recognise™ has been shown to reduce pain and improve performance.... [readmore]


⇣ Download APK (19.68 MB)

This is an original APK file direct fetch from google play. It is safe to download and free of any virus.

Version 1.0.3
Update
Size 19.68 MB
Category Health & Fitness
Developer Noigroup
Downloads ↓ 27
⇣ Download APK (19.68 MB)

This is an original APK file direct fetch from google play. It is safe to download and free of any virus.

File Infos

License type Free
Version 1.0.3
Size 19.68 MB (20636974)
Filename com.recognise.hand_3_20636974.zip
Requirement 5.0
Type app
Category Health & Fitness
Package name: com.recognise.hand
Slogan: Using Recognise™ has been shown to reduce pain and improve performance.

APK Permissions


‣ android.permission.CAMERA
‣ android.permission.READ_MEDIA_IMAGES
‣ android.permission.ACCESS_NETWORK_STATE
‣ android.permission.READ_EXTERNAL_STORAGE
‣ android.permission.WRITE_EXTERNAL_STORAGE
‣ android.permission.READ_MEDIA_IMAGES
‣ android.permission.READ_MEDIA_VIDEO
‣ android.permission.READ_MEDIA_AUDIO
‣ android.permission.INTERNET
‣ com.recognise.hand.DYNAMIC_RECEIVER_NOT_EXPORTED_PERMISSION


APK used Features


‣ android.hardware.camera
‣ android.hardware.touchscreen

Screenshots (12 images)

Recoognise Hand screenshot 1 Recoognise Hand screenshot 2 Recoognise Hand screenshot 3 Recoognise Hand screenshot 4 Recoognise Hand screenshot 5 Recoognise Hand screenshot 6 Recoognise Hand screenshot 7 Recoognise Hand screenshot 8 Recoognise Hand screenshot 9 Recoognise Hand screenshot 10 Recoognise Hand screenshot 11 Recoognise Hand screenshot 12

About Recoognise Hand APK

Recoognise Hand poster
Recoognise Hand APK version 1.0.3 poster

Latest update [menu]


New App, Initial release

Description [menu]


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.


TEST AND TRAIN

- TEST your ability to quickly and accurately recognise an image of a body area as either left or right (‘Left/Right Discrimination’)

- TRAIN your brain and harness its neuroplasticity using a range of tools


FEATURES

-‘Memory’ and ‘Speed match’ tools to take your training to the next level

-Graded difficulty levels and personal best challenges

-Detailed onscreen results and graphs to map your progress

-Powerful clinical integration tools - export and email your results directly to your clinician or therapist

-Capture your own images on your Device and use them in your training

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

How to install Recoognise Hand APK for Android [menu]


Download Recoognise Hand APK file (com.recognise.hand_3_20636974.zip) from SameAPK.com, then follow these steps:

Update Phone Settings

  • Go to your phone Settings page
  • Tap Security or Applications (varies with device)
  • Check the Unknown Sources box
  • Confirm with OK

Go to Downloads

  • Open Downloads on your device by going to My Files or Files
  • Download Split APKs Installer (SAI)
  • Download and unzip file you already downloaded (com.recognise.hand_3_20636974.zip)
  • Open Split APKs Installer and follow steps on this app.
  • Tap Install when prompted, the APK file you downloaded will be installed on your device.

How to install Recoognise Hand APK on Windows 7/8/10 or MAC PC? [menu]


Download Recoognise Hand APK file(com.recognise.hand_3_20636974.zip) from SameAPK.com to your PC (ex: /Users/xxx/Downloads/(com.recognise.hand_3_20636974.zip)), then follow these steps:

Using Emulator:

  • Download And Install one Emulator Softwares (Ex: Bluestacks, GenyMotion, NoxPlayer)
  • Download and unzip file com.recognise.hand_3_20636974.zip.
  • Using ADB or Split APKs Installer same as install for Android.

Recoognise Hand APK Pros & Cons [menu]


Pros
  • This app is safe, it's not require high risk permissions
  • Compatible with 64-bit device (some android device and current Bluestacks)

Cons
  • No best performance On PC (Windows, MAC) (because it's not exists X86 variant)



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