5 papers
Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers
Yan Gao, Yang Long, Yu Guan +3
Perinatal stroke (PS) is a serious condition that, if undetected and thus untreated, often leads to life-long disability, in particular Cerebral Palsy (CP). In clinical settings, P…
Assessing the quality of home detection from mobile phone data for official statistics
Maarten Vanhoof, Fernando Reis, Thomas Ploetz +1
Mobile phone data are an interesting new data source for official statistics. However, multiple problems and uncertainties need to be solved before these data can inform, support o…
Detecting home locations from CDR data: introducing spatial uncertainty to the state-of-the-art
Maarten Vanhoof, Fernando Reis, Zbigniew Smoreda +1
Non-continuous location traces inferred from Call Detail Records (CDR) at population scale are increasingly becoming available for research and show great potential for automated d…
On Attention Models for Human Activity Recognition
Vishvak S Murahari, Thomas Ploetz
Most approaches that model time-series data in human activity recognition based on body-worn sensing (HAR) use a fixed size temporal context to represent different activities. This…
Deep, Convolutional, and Recurrent Models for Human Activity Recognition using Wearables
Nils Y. Hammerla, Shane Halloran, Thomas Ploetz
Human activity recognition (HAR) in ubiquitous computing is beginning to adopt deep learning to substitute for well-established analysis techniques that rely on hand-crafted featur…