104 citations · 107 across the 4 of their papers we have counts for
6 papers
Intelligent Blockage Recognition using Cellular mmWave Beamforming Data: Feasibility Study
Bram van Berlo, Yang Miao, Rizqi Hersyandika +4
Joint Communication and Sensing (JCAS) is envisioned for 6G cellular networks, where sensing the operation environment, especially in presence of humans, is as important as the hig…
Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated Learning
Vasileios Tsouvalas, Tanir Ozcelebi, Nirvana Meratnia
Speech Emotion Recognition (SER) refers to the recognition of human emotions from natural speech. If done accurately, it can offer a number of benefits in building human-centered c…
Millimeter Wave Sensing: A Review of Application Pipelines and Building Blocks
Bram van Berlo, Amany Elkelany, Tanir Ozcelebi +1
The increasing bandwidth requirement of new wireless applications has lead to standardization of the millimeter wave spectrum for high-speed wireless communication. The millimeter…
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence
Aaqib Saeed, Flora D. Salim, Tanir Ozcelebi +1
Smartphones, wearables, and Internet of Things (IoT) devices produce a wealth of data that cannot be accumulated in a centralized repository for learning supervised models due to p…
Multi-task Self-Supervised Learning for Human Activity Detection
Aaqib Saeed, Tanir Ozcelebi, Johan Lukkien
Deep learning methods are successfully used in applications pertaining to ubiquitous computing, health, and well-being. Specifically, the area of human activity recognition (HAR) i…
Learning behavioral context recognition with multi-stream temporal convolutional networks
Aaqib Saeed, Tanir Ozcelebi, Stojan Trajanovski +1
Smart devices of everyday use (such as smartphones and wearables) are increasingly integrated with sensors that provide immense amounts of information about a person's daily life s…