Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
×
Dec 13, 2016 · In this paper, we explore a multimodal deception detection approach that relies on a novel data set of 149 multimodal recordings, and integrates ...
People also ask
Abstract—Deception detection has received an increasing amount of attention in recent years, due to the significant growth of digital media, ...
In this paper, we explore a multimodal deception detection approach that relies on a novel dataset of 149 multimodal recordings, and integrates multiple ...
May 1, 2017 · We test the system on different domains, to measure its effectiveness and determine its limitations. We also perform feature analysis using a ...
Observing deceptive behavior in natural settings allows for the collection of spontaneous and real-life responses, particularly during high stake scenarios.
Detecting deceptive behavior via integration of discriminative features from multiple modalities. ... detection and applications in automatic-deception-detection ...
Jul 13, 2023 · We use a dataset consisting of videos collected from public court trials. We explore the use of verbal and non-verbal modalities to build a ...
Feb 9, 2023 · [2017] Detecting Deceptive Behavior via Integration of Discriminative Features from Multiple Modalities [58], Decision Tree / Accuracy ...
Detecting deceptive behavior via integration of discriminative features from multiple modalities. IEEE Trans. Inf. Forensics Secur. 2017, 12, 1042–1055 ...
Jun 13, 2022 · Burzo,. “Detecting deceptive behavior via integration of discriminative features from multiple modalities,” IEEE Trans. Inf. Forensics Secu ...