Towards a ground truth dataset for affect detection from physiological information
نویسندگان
چکیده
Emotional response and its capture is crucial for product design and marketing •[1] R. Picard, “Affective Computing”, M.I.T Media Laboratory Perceptual Computing Section Technical Report No. 321, 1995. ___________________________________________ ___________________________________________ ___________________________________________ ___________________________________________ ___________________________________________ ___________________________________________
منابع مشابه
The impact of weak ground truth and facial expressiveness on affect detection accuracy from time-continuous videos of facial expressions
In this paper we address two issues concerning real-world time-continuous emotion detection from videos of users’ faces: (i) the impact of weak ground truth on the emotion detection accuracy and (ii) the impact of the users’ facial expressiveness on the emotion detection accuracy. We implemented an appearance-based emotion detection algorithm that uses Gabor features and a k nearest neighbors c...
متن کاملMPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation
Learning-based methods are believed to work well for unconstrained gaze estimation, i.e. gaze estimation from a monocular RGB camera without assumptions regarding user, environment, or camera. However, current gaze datasets were collected under laboratory conditions and methods were not evaluated across multiple datasets. Our work makes three contributions towards addressing these limitations. ...
متن کاملIntrusion Detection based on a Novel Hybrid Learning Approach
Information security and Intrusion Detection System (IDS) plays a critical role in the Internet. IDS is an essential tool for detecting different kinds of attacks in a network and maintaining data integrity, confidentiality and system availability against possible threats. In this paper, a hybrid approach towards achieving high performance is proposed. In fact, the important goal of this paper ...
متن کاملFace Detection Using Boosted Jaccard Distance-based Regression
This paper presents a new face detection method. We train a model that predicts the Jaccard distance between a sample sub-window and the ground truth face location. This model produces continuous outputs as opposite to the binary output produced by the widely used boosted cascade classifiers. To train this model we introduce a generalization of the binary classification boosting algorithms in w...
متن کاملOn Refining Twitter Lists as Ground Truth Data for Multi-community User Classification
To help scholars and businesses understand and analyse Twitter users, it is useful to have classifiers that can identify the communities that a given user belongs to, e.g. business or politics. Obtaining high quality training data is an important step towards producing an effective multi-community classifier. An efficient approach for creating such ground truth data is to extract users from exi...
متن کامل