no code implementations • 23 Apr 2023 • Suril Mehta, Nipun Kwatra, Mohit Jain, Daniel McDuff
The use of observed wearable sensor data (e. g., photoplethysmograms [PPG]) to infer health measures (e. g., glucose level or blood pressure) is a very active area of research.
1 code implementation • 6 Mar 2020 • Shubham Goswami, Suril Mehta, Dhruva Sahrawat, Anubha Gupta, Ritu Gupta
We also propose an unorthodox ensemble strategy that helps us in providing improved classification over models trained on 7-folds giving a weighted-$F_1$ score of 95. 26% on unseen (test) subjects' data that are, so far, the best results on the C-NMC 2019 dataset for B-ALL classification.
no code implementations • 4 Nov 2019 • Varun Jain, Shivam Aggarwal, Suril Mehta, Ramya Hebbalaguppe
The goal of this work is to introduce a framework capable of generating photo-realistic videos that have labelled hand bounding box and fingertip that can help in designing, training, and benchmarking models for hand-gesture recognition in AR/VR applications.