Use Of Artificial Intelligence In Wearable Devices For Healthy Future


AI and Machine learning are two important pillars for gathering data from wearable devices. Without Artificial Intelligence Engine, data gathering will be very tough or can say impossible from wearable devices as well as for users.

This is the reason why, wearable application developers are adding artificial intelligence into wearable health applications and wearable health solutions.


Building the platform-machine learning



Wearable systems can be broadly defined as mobile electronic devices that can be unobtrusively embedded in the user’s outfit as part of the clothing or an accessory. In particular, unlike conventional mobile systems, they can be operational and accessed without or with very little hindrance to user activity. To this end they are able to model and recognize user activity, state, and the surrounding situation: a property, referred to as context sensitivity.

1. Wearables for preventive health


After successfully developed nano particles which google is planning to inject in human body than a patient can use wearable like wristwatch on the wrist to gather data from nano particles.



2. Wearables for medical consultation

On the strike of any medical abnormality, the patient can consult with the physician or an Artificial Intelligence doctor. An AI doctor is generally a standalone neural network with deep learning algorithm that can detect ailments faster than an actual doctor can.

Deep Learning algorithm protect the platform which makes lesser errors and maximum detection through self learning module

(Chatbot Development).


3. Wearables for medication management



Ethical grounds, protocols, and acceptance





Must Read – 6 Ways Artificial Intelligence and Chatbots Are Changing Education




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