520 citations · 1.1k across the 14 of their papers we have counts for
8 papers · 1 filter
Rondo: Unsupervised Discovery of Recurring Temporal Structure
Yingtian Shi, Ankith Chandra, Thomas Plötz
Many real-world time series data exhibit structural properties at multiple scales, from short, recurring units to complex sequences composed of these units. Unsupervised discovery…
Maintenance Required: Updating and Extending Bootstrapped Human Activity Recognition Systems for Smart Homes
Shruthi K. Hiremath, Thomas Ploetz
Developing human activity recognition (HAR) systems for smart homes is not straightforward due to varied layouts of the homes and their personalized settings, as well as idiosyncra…
Large Language Models Memorize Sensor Datasets! Implications on Human Activity Recognition Research
Harish Haresamudram, Hrudhai Rajasekhar, Nikhil Murlidhar Shanbhogue +1
The astonishing success of Large Language Models (LLMs) in Natural Language Processing (NLP) has spurred their use in many application domains beyond text analysis, including weara…
Transfer Learning in Human Activity Recognition: A Survey
Sourish Gunesh Dhekane, Thomas Ploetz
Sensor-based human activity recognition (HAR) has been an active research area, owing to its applications in smart environments, assisted living, fitness, healthcare, etc. Recently…
Know Thy Neighbors: A Graph Based Approach for Effective Sensor-Based Human Activity Recognition in Smart Homes
Srivatsa P, Thomas Plötz
There has been a resurgence of applications focused on Human Activity Recognition (HAR) in smart homes, especially in the field of ambient intelligence and assisted living technolo…
Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing
Bing Zhai, Yu Guan, Michael Catt +1
Sleep is a fundamental physiological process that is essential for sustaining a healthy body and mind. The gold standard for clinical sleep monitoring is polysomnography(PSG), base…
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
Yu Guan, Thomas Ploetz
Recently, deep learning (DL) methods have been introduced very successfully into human activity recognition (HAR) scenarios in ubiquitous and wearable computing. Especially the pro…
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…