no code implementations • 6 Aug 2019 • Guangyi Zhang, Vandad Davoodnia, Alireza Sepas-Moghaddam, Yaoxue Zhang, Ali Etemad
Classifying limb movements using brain activity is an important task in Brain-computer Interfaces (BCI) that has been successfully used in multiple application domains, ranging from human-computer interaction to medical and biomedical applications.
no code implementations • 21 Aug 2019 • Vandad Davoodnia, Saeed Ghorbani, Ali Etemad
Recent advances in deep pose estimation models have proven to be effective in a wide range of applications such as health monitoring, sports, animations, and robotics.
no code implementations • 18 Jun 2020 • Vandad Davoodnia, Monet Slinowsky, Ali Etemad
Smart devices in the Internet of Things (IoT) paradigm provide a variety of unobtrusive and pervasive means for continuous monitoring of bio-metrics and health information.
no code implementations • 5 Apr 2021 • Vandad Davoodnia, Ali Etemad
Sleep posture analysis is widely used for clinical patient monitoring and sleep studies.
1 code implementation • 11 Feb 2022 • Guangyi Zhang, Vandad Davoodnia, Ali Etemad
To reduce the potential distribution mismatch between the large amounts of unlabeled data and the limited amount of labeled data, PARSE uses pairwise representation alignment.
no code implementations • 13 Jun 2022 • Vandad Davoodnia, Saeed Ghorbani, Ali Etemad
In-bed pose estimation has shown value in fields such as hospital patient monitoring, sleep studies, and smart homes.
no code implementations • 10 Mar 2023 • Vandad Davoodnia, Ali Etemad
Moreover, we observe that increasing the number of temporal crops in the early stages of the network positively impacts the performance while pre-training the network in a self-supervised setting using a masked auto-encoder approach also further improves the results.