neuromarketing

The project involves a hardware headset with 5 to 10 electrodes when worn by person it captures the brain activity and pulses and after analyzing these pulses they are extracted and processed digitally and then machine learning algorithms are applied for the predive analysis

Project Title

neuromarketing

Project Area of Specialization

NeuroTech

Project Summary

The project involves a hardware headset with 5 to 10 electrodes when worn by person it captures the brain activity and pulses and after analyzing these pulses they are extracted and processed digitally and then machine learning algorithms are applied for the predive analysis

Project Objectives

Researcher will use Neuromarketing to better measure a consumer’s preference, as the verbal response given to the question; “Do you like this product?” may not always be the true answer due to cognitive bias.

Neuromarketing will tell the researcher what the consumer reacts to, whether it was the colour of the packaging, the sound the box makes when shaken, or the idea that they will have something their co-consumers do not.

Project Implementation Method

The project involves a hardware headset with 5 to 10 electrodes when worn by person it captures the brain activity and pulses and after analyzing these pulses they are extracted and processed digitally and then machine learning algorithms are applied for the predive analysis

Benefits of the Project

1- It helps marketers to understand the brand recall pattern of individuals after viewing the advertisements with and without social messages 

2- Impact of advertisement with and without social messages on the short term and long term memory of human beings

3- Researchers / Marketers would be able to choose better advertising or marketing strategy for their advertisements.

4-  The knowledge provided by Neuromarketing will help marketers create products and services designed more effectively and marketing campaigns focused more on the brain’s response.

Technical Details of Final Deliverable

The EEG ,Ecog ecg ,ppg signals are going to be taken and analyzed from different body parts e.g EEG from brain and then digital signal processing will be applied to the signal and these signals will be converted into feature vector for further classification and after that for predictive analysis machine learning techniques will be applied

Final Deliverable of the Project

HW/SW integrated system

Type of Industry

IT

Technologies

NeuroTech

Sustainable Development Goals

Decent Work and Economic Growth, Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com