2 citations · 4 across the 4 of their papers we have counts for
4 papers
FedOpenHAR: Federated Multi-Task Transfer Learning for Sensor-Based Human Activity Recognition
Egemen İşgüder, Özlem Durmaz İncel
Motion sensors integrated into wearable and mobile devices provide valuable information about the device users. Machine learning and, recently, deep learning techniques have been u…
Federated Learning on Edge Sensing Devices: A Review
Berrenur Saylam, Özlem Durmaz İncel
The ability to monitor ambient characteristics, interact with them, and derive information about the surroundings has been made possible by the rapid proliferation of edge sensing…
Sleep Quality Prediction from Wearables using Convolution Neural Networks and Ensemble Learning
Ozan Kılıç, Berrenur Saylam, Özlem Durmaz İncel
Sleep is among the most important factors affecting one's daily performance, well-being, and life quality. Nevertheless, it became possible to measure it in daily life in an unobtr…
Extracting Digital Biomarkers for Unobtrusive Stress State Screening from Multimodal Wearable Data
Berrenur Saylam, Özlem Durmaz İncel
With the development of wearable technologies, a new kind of healthcare data has become valuable as medical information. These data provide meaningful information regarding an indi…