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Emotion recognition using forehead biopotentials and physiological signals

Design and implement of emotion recognition system based on dynamic adaptive fusion of forehead biopotentials and physiological signals

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
IRCT
Registry ID
IRCT20200212046473N3
Enrollment
25
Registered
2020-06-13
Start date
2013-02-25
Completion date
Unknown
Last updated
2020-06-15

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

Conditions

Condition 1: Healthy individuals. Condition 2: Emotional states. Condition 3: Forehead biopotentials. Condition 4: Physiological signals.

Interventions

Intervention group: 25 healthy males. In one session: 1. Recording forehead biopotentials and physiological signals at eyes-closed and eyes-open rest, 2. Displaying emotional videos to participants to

Sponsors

Tarbiat Modares University
Lead Sponsor

Eligibility

Sex/Gender
Male
Age
23 Years to 32 Years

Inclusion criteria

Inclusion criteria: Aged between 23 to 32 years Healthy individuals Normal or corrected-to-normal vision University student

Exclusion criteria

Exclusion criteria: History of neurological diseases (e.g. migraine or epilepsy) Medication use

Design outcomes

Primary

MeasureTime frame
Forehead biopotential signals (contain electrical activities of the brain, heart, facial muscles and eye movements). Timepoint: Before the intervention at the beginning of the session, While displaying the neutral videos, While displaying the emotional videos. Method of measurement: Recording forehead biopotential signals using golden electrodes.;Physiological signals. Timepoint: Before the intervention at the beginning of the session, While displaying the neutral videos, While displaying the emotional videos. Method of measurement: Measuring the physiological signals of Skin Conductance (SC), Blood Volume Pulse (BVP) and Interbeat Interval (IBI).

Countries

Iran (Islamic Republic of)

Contacts

Public ContactZeynab Khodakarami

Modares Science and Technology Park

z.khodakarami@gmail.com+98 21 6691 9131

Outcome results

None listed

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