Overview / Usage

We propose the development of a glove that is able to dynamically conceive the motion of a user's hand and ascertain the difference between intentional movement and unintentional movement. Further we quantify, verify and attempt to provide haptic response to the users' fingers with the help of electroactive polymers to help counteract the unwanted vibration. (For the proof of concept, we used Coin Motors)

This technique is like that of work done by mechanical designers to help invalidate the normal recurrence in extensions, vehicle motors and planes. In the event that we can deal with this in extensive structures that are effectively moving, we ought to have the capacity to saddle a similar system to help balance out an individual's hand.

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Methodology / Approach

We used:

IoT

Sensors

Data Analytics

Artificial Intelligence

1: We developed a proof of concept glove that has the ability to nullify artificial tremors Phase 2: We created a glove that is able to quantify a users' actions and determine the intentional movement from the unintentional without providing any regulation. Phase 3:Combines the previous two phases by using the corrected tremor detection with that of the stabilization to provide haptic response whenever the glove detects unintentional movement by the user.

Technologies Used

Android

AI

IoT

Sensors

Collaborators