3 citations · 10 across the 9 of their papers we have counts for
9 papers
Rehabilitation Exercise Repetition Segmentation and Counting using Skeletal Body Joints
Ali Abedi, Paritosh Bisht, Riddhi Chatterjee +4
Physical exercise is an essential component of rehabilitation programs that improve quality of life and reduce mortality and re-hospitalization rates. In AI-driven virtual rehabili…
Multi-modal reward for visual relationships-based image captioning
Ali Abedi, Hossein Karshenas, Peyman Adibi
Deep neural networks have achieved promising results in automatic image captioning due to their effective representation learning and context-based content generation capabilities.…
Bag of States: A Non-sequential Approach to Video-based Engagement Measurement
Ali Abedi, Chinchu Thomas, Dinesh Babu Jayagopi +1
Automatic measurement of student engagement provides helpful information for instructors to meet learning program objectives and individualize program delivery. Students' behaviora…
Step Counting with Attention-based LSTM
Shehroz S. Khan, Ali Abedi
Physical activity is recognized as an essential component of overall health. One measure of physical activity, the step count, is well known as a predictor of long-term morbidity a…
MAISON -- Multimodal AI-based Sensor platform for Older Individuals
Ali Abedi, Faranak Dayyani, Charlene Chu +1
There is a global aging population requiring the need for the right tools that can enable older adults' greater independence and the ability to age at home, as well as assist healt…
Detecting Disengagement in Virtual Learning as an Anomaly using Temporal Convolutional Network Autoencoder
Ali Abedi, Shehroz S. Khan
Student engagement is an important factor in meeting the goals of virtual learning programs. Automatic measurement of student engagement provides helpful information for instructor…
Inconsistencies in the Definition and Annotation of Student Engagement in Virtual Learning Datasets: A Critical Review
Shehroz S. Khan, Ali Abedi, Tracey Colella
Background: Student engagement (SE) in virtual learning can have a major impact on meeting learning objectives and program dropout risks. Developing Artificial Intelligence (AI) mo…
Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours from Multimodal Videos
Shehroz S. Khan, Ziting Shen, Haoying Sun +2
Distracted driving is one of the major reasons for vehicle accidents. Therefore, detecting distracted driving behaviors is of paramount importance to reduce the millions of deaths…
A new soft computing method for integration of expert's knowledge in reinforcement learn-ing problems
Mohsen Annabestani, Ali Abedi, Mohammad Reza Nematollahi +1
This paper proposes a novel fuzzy action selection method to leverage human knowledge in reinforcement learning problems. Based on the estimates of the most current action-state va…