118 citations · 194 across the 4 of their papers we have counts for
4 papers
Scaling Human Activity Recognition: A Comparative Evaluation of Synthetic Data Generation and Augmentation Techniques
Zikang Leng, Archith Iyer, Thomas Plötz
Human activity recognition (HAR) is often limited by the scarcity of labeled datasets due to the high cost and complexity of real-world data collection. To mitigate this, recent wo…
Explainable Activity Recognition for Smart Home Systems
Devleena Das, Yasutaka Nishimura, Rajan P. Vivek +4
Smart home environments are designed to provide services that help improve the quality of life for the occupant via a variety of sensors and actuators installed throughout the spac…
Geographical veracity of indicators derived from mobile phone data
Maarten Vanhoof, Thomas Ploetz, Zbigniew Smoreda
In this contribution we summarize insights on the geographical veracity of using mobile phone data to create (statistical) indicators. We focus on problems that persist with spatia…
Towards Using Unlabeled Data in a Sparse-coding Framework for Human Activity Recognition
Sourav Bhattacharya, Petteri Nurmi, Nils Hammerla +1
We propose a sparse-coding framework for activity recognition in ubiquitous and mobile computing that alleviates two fundamental problems of current supervised learning approaches.…