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Apple App Store Recognise Knee

noigroup

5
Reviews
3.6
Rating
Feb 24, 2016
Launch Date
View Origin Link

Product Positioning & Context

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 iPhone or iPad and use them in your training

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


WHAT’S NEW IN 2016

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


FEET, BACKS, NECKS, SHOULDERS, KNEES?

This App is for Knees, for Recognise™ Feet, Recognise™ Back, Recognise™ Neck, Recognise™ Shoulder and Recognise™ Hand, check the App store


FIND OUT MORE

Visit www.gradedmotorimagery.com for more information including videos and free downloads.
Medical Health & Fitness

Related Ecosystem & Alternatives

Discover adjacent products, open-source repositories, and developer tools sharing similar technical architecture.

Deep-Dive FAQs

What is Recognise Knee?
Recognise Knee is a digital product or tool described as: noigroup
Where did Recognise Knee originate?
Data for Recognise Knee was aggregated directly from the Apple App Store community ecosystem, representing raw developer and early-adopter sentiment.
When was Recognise Knee publicly launched?
The initial public indexing or launch date for Recognise Knee within our tracked developer communities was recorded on February 24, 2016.
How popular is Recognise Knee?
Recognise Knee has achieved measurable traction, logging over 5 reviews and facilitating 4 recorded discussions or engagements.
Which technical categories define Recognise Knee?
Based on metadata extraction, Recognise Knee is categorized under topics such as: Medical, Health & Fitness.
What are some commercial alternatives to Recognise Knee?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as Ycode AI Agents, which offers overlapping value propositions.
How does the creator describe Recognise Knee?
The original author or development team describes the product as follows: "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 program..."

Community Voice & Feedback

tuckergolden • Jan 30, 2018
For someone who has pain all over their body, and is trying out this new “nerve therapy,” it would be much nicer to have all of the apps combined into one, instead of having to download 6 different apps to get the use out of them. At least one option like that would be nice to have. Still have your separate apps, but it would be nice to have one option of having them combined. This way it will also take up a whole lot of less space on my phone and it will only take up the space of 1 app place on my phone, instead of taking up 6 app places on my home screen. I love your apps and they are “somewhat starting to work” for me. Thank you!

Discovery Source

Apple App Store Apple App Store

Aggregated via automated community intelligence tracking.

Tech Stack Dependencies

No direct open-source NPM package mentions detected in the product documentation.

Media Tractions & Mentions

No mainstream media stories specifically mentioning this product name have been intercepted yet.

Deep Research & Science

No direct peer-reviewed scientific literature matched with this product's architecture.