Abstract We present M3ER, a learning-based method for emotion recognition from multiple input modalities. Our approach combines cues from multiple co-occurring modalities (such as face, text, and speech) and also […]
Abstract This paper describes data collection and the first explorative research on the AICO Multimodal Corpus. The corpus contains eye-gaze, Kinect, and video recordings of human-robot and human-human interactions, and
The AICO Multimodal Corpus – Data Collection and Preliminary Analyses Read More »
Abstract Modeling the structure of cognitive systems is a central goal of the cognitive sciences—a goal that has greatly benefitted from the application of network science approaches. This paper provides
Abstract With the explosive growth of the Internet of Things (IoT) using WiFi networks along with their huge data flows (especially Bigdata using TCP connections), the significant challenges are the
Policy-based Bigdata Security and QoS Framework for SDN/IoT: An Analytic Approach Read More »
![Coordination between control layer AI and on-board AI in optical transport networks [Invited]](https://ksra.fr/wp-content/uploads/2020/08/Artificial-Superintelligence-In-Control-300x279.jpg)
Abstract In optical transport networks, the urgent demand for control efficiency and intelligence has become one of the most significant challenges for telecom operators. With the development in control technology,
Abstract Internet of Things (IoT) is a communication paradigm that connects devices and objects in order to harvest and process data produced by several edge devices [1]. It is predicting
An Overview of AI-Enabled Remote Smart- Home Monitoring System Using LoRa Read More »
Abstract This study considers to what extent a tangible tabletop interface can enhance student engagement in a serious mathematics game compared to regular interaction with the same game in a
ABSTRACT In the presence of conflicting or ambiguous visual cues in complex scenes, performing 3D selection and manipulation tasks can be challenging. To improve motor planning and coordination, we explore
Audio-Tactile Proximity Feedback for Enhancing 3D Manipulation Read More »
ABSTRACT Medical images taken with mobile phones by patients, i.e. medical selfies, allow screening, monitoring, and diagnosis of skin lesions. While mobile teledermatology can provide good diagnostic accuracy for skin
Medical Selfies: Emotional Impacts and Practical Challenges Read More »
Abstract This article introduces a time-domain-based artificial intelligence (AI) radar system for gesture recognition using 33-GS/s direct sampling technique. High-speed sampling using a time-extension method allows AI learning to be
