ISSN2320-2882
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Paper Title

Augmenting Digital Companion Capabilities via Integrated Sensory Intelligence for Affective State Identification

Authors

Dr.Thanveer Jahan , MOLKAPURI HIMANSHU , BOLLAM SANJANA , GANDLA NAVYA

Keywords

Multimodal Emotion Recognition; Facial Emotion Recognition; Textual Emotion Analysis; Affective Computing; Human-Computer Interaction; Empathetic Virtual Assistants;

Abstract

ecognising emotions is becoming more and more important for making interactions between people and computers better. This is because emotions are a big part of how people interact with each other and how they feel overall. Many industries need machines that can pick up on and respond to emotional cues like people do. Emotionally responsive agents are useful in many fields, such as education, healthcare, gaming, marketing, customer service, human-robot interaction, and entertainment. This study investigates the potential for improving virtual assistants through multimodal Artificial Intelligence (AI), employing diverse emotion recognition techniques to develop more empathetic and efficient systems. The suggested method uses facial expressions and written cues to make the system more aware of emotions and make users happy by having empathetic conversations. The Facial Emotion Recognition (FER) model was 71% accurate in real time, and the Textual Emotion Recognition (TER) model was 59% accurate in validation, showing that Multimodal Emotion Recognition (MER) works well. Our lightweight architecture makes sure that inference happens in real time and that facial and textual emotion recognition are combined with DialoGPT-based response generation. This shows that it works with large language models for empathetic dialogue, unlike previous multimodal emotion-aware systems.

How To Cite

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IJCRT — journal style
"Augmenting Digital Companion Capabilities via Integrated Sensory Intelligence for Affective State Identification", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 4, page no.118-128, April 2026, Available :https://ijcrt.org/papers/IJCRTBP02014.pdf
APA — 7th edition
Jahan, D. T., HIMANSHU, M., SANJANA, B., & NAVYA, G. (2026). Augmenting Digital Companion Capabilities via Integrated Sensory Intelligence for Affective State Identification. International Journal of Creative Research Thoughts, 14(4), 118-128. https://doi.org/10.56975/ijcrt.v14i4.304373
MLA — 9th edition
Jahan, Dr.Thanveer, et al. "Augmenting Digital Companion Capabilities via Integrated Sensory Intelligence for Affective State Identification." International Journal of Creative Research Thoughts, vol. 14, no. 4, 2026, pp. 118-128, https://doi.org/10.56975/ijcrt.v14i4.304373.
Chicago — 17th, bibliography
Jahan, Dr.Thanveer, et al. "Augmenting Digital Companion Capabilities via Integrated Sensory Intelligence for Affective State Identification." International Journal of Creative Research Thoughts 14, no. 4 (2026): 118-128. https://doi.org/10.56975/ijcrt.v14i4.304373.
Harvard — author–date
Jahan, D.T. et al. (2026) 'Augmenting Digital Companion Capabilities via Integrated Sensory Intelligence for Affective State Identification', International Journal of Creative Research Thoughts, 14(4), pp. 118-128. Available at: https://doi.org/10.56975/ijcrt.v14i4.304373
IEEE — numbered reference
D. T. Jahan, M. HIMANSHU, B. SANJANA and G. NAVYA, "Augmenting Digital Companion Capabilities via Integrated Sensory Intelligence for Affective State Identification," IJCRT, vol. 14, no. 4, pp. 118-128, Apr. 2026, doi: 10.56975/ijcrt.v14i4.304373.
Vancouver — biomedical
Jahan DT, HIMANSHU M, SANJANA B, NAVYA G. Augmenting Digital Companion Capabilities via Integrated Sensory Intelligence for Affective State Identification. IJCRT. 2026 Apr;14(4):118-128. doi: 10.56975/ijcrt.v14i4.304373
AMA — 11th edition
Jahan DT, HIMANSHU M, SANJANA B, NAVYA G. Augmenting Digital Companion Capabilities via Integrated Sensory Intelligence for Affective State Identification. IJCRT. 2026;14(4):118-128. doi:10.56975/ijcrt.v14i4.304373
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRTBP02014, author = {Dr.Thanveer Jahan and MOLKAPURI HIMANSHU and BOLLAM SANJANA and GANDLA NAVYA}, title = {Augmenting Digital Companion Capabilities via Integrated Sensory Intelligence for Affective State Identification}, journal = {International Journal of Creative Research Thoughts}, volume = {14}, number = {4}, pages = {118-128}, year = {2026}, month = {April}, issn = {2320-2882}, doi = {10.56975/ijcrt.v14i4.304373}, url = {https://doi.org/10.56975/ijcrt.v14i4.304373} }
RIS — EndNote, RefWorks
TY - JOUR AU - Jahan, Dr.Thanveer AU - HIMANSHU, MOLKAPURI AU - SANJANA, BOLLAM AU - NAVYA, GANDLA TI - Augmenting Digital Companion Capabilities via Integrated Sensory Intelligence for Affective State Identification T2 - International Journal of Creative Research Thoughts JA - IJCRT VL - 14 IS - 4 PY - 2026 SN - 2320-2882 DO - 10.56975/ijcrt.v14i4.304373 UR - https://doi.org/10.56975/ijcrt.v14i4.304373 SP - 118 EP - 128 ER -

Issue

Volume 14 Issue 4, April-2026
Pages : 118-128

Article Information

Pages
118-128
Published
April 2026
Registration ID
IJCRT_304373
Published Paper ID
IJCRTBP02014
Research Area
Science and Technology
Author Type
Indian Author
Location
warangal, telangana, India
Licence
CC BY 4.0 · Open Access
ISSN & Impact Factor
2320-2882 · IF 9.17
Downloads
301
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International Journal of Creative Research Thoughts Published by IJCRT Publication
2320-2882 ISSN
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Impact Factor 9.17, calculated from Google Scholar citation data — see how it is worked out.
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© 2026 — Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
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Declarations

Funding

No external funding was received for this study.

Conflict of Interest

The authors declare that they have no conflict of interest.

Acknowledgements

The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.

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