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Assessing emotional states of Healthy Individuals using Artificial Intelligence

Validation of Emoscape: A Machine Learning Approach to Determining an Individuals Emotional State Based on the Navarasa - NILL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/06/088870
Enrollment
140
Registered
2025-06-16
Start date
Unknown
Completion date
Unknown
Last updated
2025-06-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Intervention1: Nil: Nil

Sponsors

Dr Girish Babu N
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: The purpose of this study is to validate an Artificial Intelligence (AI) based emotion recognition software, called Emoscape, Emoscape is based on Navarasa- a framework derived from Indian aesthetics which describes 9 primary emotions. This study aims to find out if emoscape is able to identify human emotions accurately

Exclusion criteria

Exclusion criteria: 1. Diagnosed Axis I disorder, including anxiety or depressive disorder or intellectual disability 2. Current PHQ-9 or GAD-7 score of more than 4 3. Known history of neurological conditions such as seizures, stroke, movement disorders 4. Known visual impairment interfering with task performance (except refractive errors with correction) 5. Any physical condition that could restrict movement of the neck (ex: spondylosis, Ankylosing spondylitis, vertebral fractures etc).

Design outcomes

Primary

MeasureTime frame
Emoscape scores in response to viewing emotion facial stimuliTimepoint: Baseline

Secondary

MeasureTime frame
nilTimepoint: nil

Countries

India

Contacts

Public ContactDr Girish Babu N

Manoshanti

girisha1980@gmail.com9448091780

Outcome results

None listed

Source: CTRI (via WHO ICTRP) · Data processed: Feb 4, 2026