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A Data Visualization Tool for Patients and Healthcare Providers to Communicate during Inpatient Stroke Rehabilitation

GI'24, 🏆 Best Student Paper Award /
Shri Harini Ramesh, Alicia Ouskine, Elahe Khorasani, Mona Ebrahimipour, Hillel Finestone, Adrian D. C. Chan, Fateme Rajabiyazdi.Proceedings of the 2024 Graphic Interface ConferenceStroke is one of the leading causes of disability worldwide. The efficacy of stroke recovery is determined by various factors, including patient adherence to their rehabilitation program. Effective communication between healthcare providers and […]

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TextVista: NLP-Enriched Time-Series Text Data Visualizations

GI'24 /
Fateme Rajabiyazdi, Shri Harini Ramesh, Beck Langstone, Daniil Kulik, Justin Pontalba.Proceedings of the 2024 Graphics Interface ConferenceAbstract: There is a vast amount of unstructured text data generated every day analyzing and making sense of these text-based datasets is a complex, cumbersome task. The existing visualization tools that analyze text data, leveraging Natural Language Processing (NLP)

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Automated Stride Detection from OpenPose Keypoints Using Handheld Smartphone Video

IEEE SAS'23 /
Shri Harini Ramesh, Edward D Lemaire, Kevin Cheung, Albert Tu, Natalie BaddourProceedings of the 2023 IEEE Sensors Applications Symposium (SASAbstract: Gait analysis is important for assessing neurological disorders, but existing methods require human assistance and specialized tools, which can be time-consuming and resource-intensive. Healthcare providers would benefit from automated gait analysis. The first step in

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Automated Implementation of the Edinburgh Visual Gait Score (EVGS) Using OpenPose and Handheld Smartphone Video

Sensors'23, 🏆 Best Scientific Poster Award /
Shri Harini Ramesh, Edward D Lemaire, Albert Tu, Kevin Cheung, Natalie BaddourMDPI Sensors 2023Abstract: Recent advancements in computing and artificial intelligence (AI) make it possible to quantitatively evaluate human movement using digital video, thereby opening the possibility of more accessible gait analysis. The Edinburgh Visual Gait Score (EVGS) is an effective tool for observational gait

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Parametrization of Optical Flow Kymograms

ICISCoIS'23 /
B Panchami, SP Kumar, AJ Rajkumar, V Rishika, Shri Harini RameshProceedings of the 2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS)Abstract: Laryngeal high-speed video endoscopy is used to visualize the vocal folds pattern of vibration for appropriate diagnosis and evaluation of voice disorders. However, it is tedious to examine LHSV frames

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