This project seeks to explore the concept of affective loops in the context of affective computing
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Updated
Nov 21, 2022 - Python
This project seeks to explore the concept of affective loops in the context of affective computing
Classifying emotion by using estimated keypoints instead of full images
using machine learning to identify interlocutor familiarity based on laughter types
A Novel Method to Visualize Multimodal AI Sentiment Arcs in Long-Form Narratives
A proof-of-concept for an adaptive sampling method to collect emotions in the wild.
Some of my final files from the internship at IIT Kharagpur, 2016
Neural network architecture for modelling affective movement behaviour at multiple timescales
Intelligent Tutoring System recognizing Comprehension Problems during Learning
Emotion Detection on your own Twitter feed
Machine Learning model for detecting bluffing in Poker
A proof-of-concept for an adaptive sampling method to collect emotions in the wild.
TILES speaking pattern (speaking frequency, duration, arousal rating) using audio data
This repository contains the code to create and conduct emotion recognition experiments, on uni-modalities(text, speech) and a combined approach for bi-modal analysis.
This repo is a practical stimulus tool for teleoperated human-robot teams. The tool is comprised of a customizable graphical user interface and subjective questionnaires to measure affective loads. We validated that this tool can invoke different levels of affective loads through extensive user experiments.
CHI 2021 paper (RCEA-360VR) source code for our (a) Viewport-dependent annotation fusion method (b) Viewport-based fine-grained V-A video overlay generator
Code for the paper "Modeling Multiple Temporal Scales of Full-body Movements for Emotion Classification"
This is the code for affective manifolds.
EVA: a social 🗣, affective ❤️ and proactive 🧠 robot for older adults 👴🏻
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