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CTRI Number  CTRI/2025/07/091939 [Registered on: 29/07/2025] Trial Registered Prospectively
Last Modified On: 28/07/2025
Post Graduate Thesis  Yes 
Type of Trial  Observational 
Type of Study   Cross Sectional Study 
Study Design  Single Arm Study 
Public Title of Study   Human emotion detection by using brain waveforms 
Scientific Title of Study   Identification of Emotion States Using Electroencephalogram 
Trial Acronym  NIL 
Secondary IDs if Any  
Secondary ID  Identifier 
NIL  NIL 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Praveen S 
Designation  PhD Scholar 
Affiliation  Sri Ramachandra Institute of Higher Education and Research 
Address  A2 Department of Neurology, Sri Ramachandra Institute of higher education and Research, Porur, Chennai

Chennai
TAMIL NADU
600116
India 
Phone  9650432878  
Fax    
Email  u022401071@sriramachandra.edu.in  
 
Details of Contact Person
Scientific Query  
Name  Praveen S 
Designation  PhD Scholar 
Affiliation  Sri Ramachandra Institute of Higher Education and Research 
Address  A2 Department of Neurology, Sri Ramachandra Institute of higher education and Research, Porur, Chennai


TAMIL NADU
600116
India 
Phone  9650432878  
Fax    
Email  u022401071@sriramachandra.edu.in  
 
Details of Contact Person
Public Query  
Name  Dr Rithvik Ramesh 
Designation  Associate Professor 
Affiliation  Sri Ramachandra Institute of Higher Education and Research 
Address  A2 Department of Neurology, Sri Ramachandra Institute of higher education and Research, Porur, Chennai

Chennai
TAMIL NADU
600116
India 
Phone  9003187788  
Fax    
Email  rithvikramesh@sriramachandra.edu.in  
 
Source of Monetary or Material Support  
NIL 
 
Primary Sponsor  
Name  Sri Ramachnadra Institute of Higher education and research 
Address  Sri Ramachandra Institute of higher education and Research, porur chennai 600116 
Type of Sponsor  Research institution 
 
Details of Secondary Sponsor  
Name  Address 
NIL  NIL 
 
Countries of Recruitment     India  
Sites of Study  
No of Sites = 1  
Name of Principal Investigator  Name of Site  Site Address  Phone/Fax/Email 
Praveen S  Sri Ramachandra Institute of Higher Education and Research  Room no 18, A2 Department of Neurology, Sri Ramachandra Institute of higher education and Research, Porur, Chennai 600116.
Chennai
TAMIL NADU 		 9650432878

u022401071@sriramachandra.edu.in 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
Sri Ramachandra institution Ethics committe  Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Healthy Human Volunteers  No preexisting helath condition  
 
Intervention / Comparator Agent  
Type  Name  Details 
Intervention  Nil  Nil 
 
Inclusion Criteria  
Age From  18.00 Year(s)
Age To  65.00 Year(s)
Gender  Both 
Details  Individuals with the age group of 18 and 65 years old with no medical history of illness.
Participants must be comfortable with and able to use virtual reality equipment.
Participants must have the cognitive ability to understand the tasks and follow
instructions throughout the study. 
 
ExclusionCriteria 
Details  Individuals with severe psychiatric conditions such as severe depression, anxiety
disorders, schizophrenia.
Participants with any comorbid or comorbid disease or any concurrent drugs that affect
emotional states.
Participants with a history of substance abuse or currently under the influence of drugs or
alcohol.
Individuals with severe visual or hearing impairments that cannot be corrected.
Participants with conditions that make the use of VR problematic (e.g., severe motion
sickness, vertigo).
Individuals who have previously participated in a similar EEG-based emotion
recognition study within the last six months.
Participants with metallic implants in the head or neck region that might interfere with
EEG signals.
Individuals with intellectual disabilities that would prevent them from understanding the
study requirements or tasks without assistance 
 
Method of Generating Random Sequence   Not Applicable 
Method of Concealment   Not Applicable 
Blinding/Masking   Not Applicable 
Primary Outcome  
Outcome  TimePoints 
The primary outcome of the study is providing different emotions connecting with brain waves and its accuracy rate.   The outcome of the results will be assessed once the data is completely recorded from all required participants. typically after 4 weeks from data collected.  
 
Secondary Outcome  
Outcome  TimePoints 
functional connectivity of brain mapping towards emtoions  Once the data is recorded, the analysis will be processed, & at the final part of the analysis, the functional connectivity of brain mapping will result. estimated 5 weeks from data recorded  
 
Target Sample Size   Total Sample Size="150"
Sample Size from India="150" 
Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials"
Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials" 
Phase of Trial   N/A 
Date of First Enrollment (India)   15/08/2025 
Date of Study Completion (India) Applicable only for Completed/Terminated trials 
Date of First Enrollment (Global)  Date Missing 
Date of Study Completion (Global) Applicable only for Completed/Terminated trials 
Estimated Duration of Trial   Years="1"
Months="0"
Days="0" 
Recruitment Status of Trial (Global)   Open to Recruitment 
Recruitment Status of Trial (India)  Not Yet Recruiting 
Publication Details   N/A 
Individual Participant Data (IPD) Sharing Statement

Will individual participant data (IPD) be shared publicly (including data dictionaries)?  

Response - NO
Brief Summary   Emotion detection using electroencephalography has become one of the leading research areas to explore human emotions, which helps us to understand and make it a diagnostic tool for many psychiatric conditions and neuroeconomics. The major importance for bringing up this trial is to provide a cost-effective and clinically feasible tool to detect human emotions in hospitals. As artificial intelligence becomes one of the leading networks, using machine learning approaches will help us identify emotion recognition using electrophysiology. Previous researchers have worked in the area where datasets are used to classify the emotions. This trial will focus on collecting real-time data in immersive virtual reality to elucidate emotions and recording EEG simultaneously. This method will help to detect the emotions better in clinical settings; future directions of the study will focus on collecting data from the different clinical populations to make the accuracy rate differences between the normal population and those clinically diagnosed with a particular condition.  
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