IMU-based Modularized Wearable Device for Human Motion Classification

no code implementations • 29 Mar 2023 • Sahan Wijethunga, Shehan Kaushalya Senavirathna, Kavishka Dissanayake, Janith Bandara Senanayake, Eranda Somathilake, Upekha Hansanie Delay, Roshan Indika Godaliyadda, Mervyn Parakrama Ekanayake, Janaka Wijayakulasooriya

The results of the case studies show that distance-measure-based and PCA-based dimension reduction will significantly improve human motion identification accuracy.

Classification Dimensionality Reduction +2

Hybrid Y-Net Architecture for Singing Voice Separation

no code implementations • 5 Mar 2023 • Rashen Fernando, Pamudu Ranasinghe, Udula Ranasinghe, Janaka Wijayakulasooriya, Pantaleon Perera

This research paper presents a novel deep learning-based neural network architecture, named Y-Net, for achieving music source separation.

Music Source Separation

Assessment of Fetal and Maternal Well-Being During Pregnancy Using Passive Wearable Inertial Sensor

no code implementations • 19 Nov 2021 • Eranda Somathilake, Upekha Delay, Janith Bandara Senanayaka, Samitha Gunarathne, Roshan Godaliyadda, Parakrama Ekanayake, Janaka Wijayakulasooriya, Chathura Rathnayake

Assessing the health of both the fetus and mother is vital in preventing and identifying possible complications in pregnancy.

Comprehensive Study on Denoising of Medical Images Utilizing Neural Network Based Auto-Encoder

no code implementations • 3 Feb 2021 • Thoshara Nawarathne, Thanushi Withanage, Samitha Gunarathne, Upekha Delay, Eranda Somathilake, Janith Senanayake, Roshan Godaliyadda, Parakrama Ekanayake, Janaka Wijayakulasooriya, Chathura Rathnayake

Fetal motion discernment utilizing spectral images extracted from accelerometric data incident on pregnant mothers abdomen has gained substantial attention in the state-of-the-art research.

Denoising Retrieval