Houshyar Asadi

Efficient and Interpretable Body-Based Emotion Recognition with Lightweight Temporal Convolutional Networks

Christian Arzate Cruz, Stefanos Gkikas, Houshyar Asadi

Body-based emotion recognition is important for real-time affective systems, but graph-based skeleton models can be computationally expensive. This paper studies whether lightweight temporal convolutional networks (TCNs) can provide an efficient and interpretable alternative for…Read more

A Critical Review of Recent Advances in Deep Learning and Machine Learning Models for Cognitive Load Assessment Using Eye-Tracking Technology

Mehshan Ahmed Khan, Houshyar Asadi, Li Zhang, Eric Tatt Wei Ho, Mohammad Reza Chalak Qazani, Hussain Mohammed Dipu Kabir, et al.

Cognitive load is a critical factor that influences learning and performance. In recent years, eye-tracking technologies have emerged as a promising method for detecting and measuring cognitive load in real-time during learning activities. This paper presents a comprehensive revi…Read more

DriveAware: Multimodal Wearable Sensing–Based Machine Learning Approaches to Detect Driver Distraction

Heba Montaser, Ghazal Bargshady, Hakki Gokalp Ustun, Girija Chetty, Houshyar Asadi, Jeroen Van Boxtel