Search Results for author: Vandad Davoodnia

Found 7 papers, 1 papers with code

Classification of Hand Movements from EEG using a Deep Attention-based LSTM Network

no code implementations6 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.

Deep Attention EEG +4

In-bed Pressure-based Pose Estimation using Image Space Representation Learning

no code implementations21 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.

Pose Estimation Representation Learning

Deep Multitask Learning for Pervasive BMI Estimation and Identity Recognition in Smart Beds

no code implementations18 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.

BIG-bench Machine Learning

Identity and Posture Recognition in Smart Beds with Deep Multitask Learning

no code implementations5 Apr 2021 Vandad Davoodnia, Ali Etemad

Sleep posture analysis is widely used for clinical patient monitoring and sleep studies.

PARSE: Pairwise Alignment of Representations in Semi-Supervised EEG Learning for Emotion Recognition

1 code implementation11 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.

Data Augmentation EEG +3

Estimating Pose from Pressure Data for Smart Beds with Deep Image-based Pose Estimators

no code implementations13 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.

Domain Adaptation Pose Estimation

Human Pose Estimation from Ambiguous Pressure Recordings with Spatio-temporal Masked Transformers

no code implementations10 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.

Pose Estimation

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