Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: emotion on the road - necessity , acceptance , and feasibility of affective computing in the car .
Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach
DEVA: sensing emotions in the valence arousal space in software engineering text
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications
Towards Dynamically Crafted Affective Experiences Through Emotional Response Player Modelling
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
ASCERTAIN: Emotion and Personality Recognition Using Commercial Sensors
A survey of affective brain computer interfaces: principles, state-of-the-art, and challenges
Interaction-aware driver maneuver inference in highways using realistic driver models
Emotion-sensitive Human-Computer Interaction ( HCI ) : State of the art-Seminar paper ∗
Automated Face Analysis for Affective Computing
Detecting stress during real-world driving tasks using physiological sensors
A Multi-Modal Approach to Sensing Human Emotion
OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
Tracking continuous emotional trends of participants during affective dyadic interactions using body language and speech information
EmoSenticSpace: a novel framework for affective common-sense reasoning
Multimodal interaction in the car: combining speech and gestures on the steering wheel
Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge
The effects of social interactions with in-vehicle agents on a driver's anger level, driving performance, situation awareness, and perceived workload.
Planning for Autonomous Cars that Leverage Effects on Human Actions
Classifying Facial Actions
Lyotropic liquid crystal systems in drug delivery.
Generative Steganography by Sampling
Adaptive Fog Configuration for the Industrial Internet of Things
A system for analyzing and indexing human-motion databases