Plötz, Thomas

Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study

Doherty, A., Jackson, D., Hammerla, N., Plötz, T., Olivier, P., Granat, M. H., White, T., van Hees, V. T., Trenell, M. I., Owen, C. G., et al. (2017) · PLOS ONE

Physical Activity and HealthContext-Aware Activity Recognition Systems

Cited by 1,250

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables

Guan, Y., & Plötz, T. (2017) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHand Gesture Recognition Systems

Cited by 511

Optimising sampling rates for accelerometer-based human activity recognition

Khan, A., Hammerla, N., Mellor, S., & Plötz, T. (2016) · Pattern Recognition Letters

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 171

On attention models for human activity recognition

Murahari, V. S., & Plötz, T. (2018) · Proceedings of the 2018 ACM International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 157

IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition

Kwon, H., Tong, C., Haresamudram, H., Gao, Y., Abowd, G. D., Lane, N. D., & Plötz, T. (2020) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 152

Contrastive Predictive Coding for Human Activity Recognition

Haresamudram, H., Essa, I., & Plötz, T. (2021) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 150

Masked reconstruction based self-supervision for human activity recognition

Haresamudram, H., Beedu, A., Agrawal, V., Grady, P. L., Essa, I., Hoffman, J., & Plötz, T. (2020) · Proceedings of the 2020 International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 146

Assessing the State of Self-Supervised Human Activity Recognition Using Wearables

Haresamudram, H., Essa, I., & Plötz, T. (2022) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 107

Assessing the State of Self-Supervised Human Activity Recognition using Wearables

Haresamudram, H., Essa, I., & Plötz, T. (2022) · arXiv

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 107

Let's (not) stick together: pairwise similarity biases cross-validation in activity recognition

Hammerla, N. Y., & Plötz, T. (2015) · Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 91

On the role of features in human activity recognition

Haresamudram, H., Anderson, D. V., & Plötz, T. (2019) · Proceedings of the 23rd International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 90

Explainable Activity Recognition for Smart Home Systems

Das, D., Nishimura, Y., Vivek, R. P., Takeda, N., Fish, S. T., Plötz, T., & Chernova, S. (2023) · ACM Transactions on Interactive Intelligent Systems

Explainable Artificial Intelligence (XAI)Context-Aware Activity Recognition Systems

Cited by 70

IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition

Leng, Z., Bhattacharjee, A., Rajasekhar, H., Zhang, L., Bruda, E., Kwon, H., & Plötz, T. (2024) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHuman Motion and Animation

Cited by 61

Handling annotation uncertainty in human activity recognition

Kwon, H., Abowd, G. D., & Plötz, T. (2019) · Proceedings of the 23rd International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsMobile Crowdsensing and Crowdsourcing

Cited by 52

Approaching the Real-World: Supporting Activity Recognition Training with Virtual IMU Data

Kwon, H., Wang, B., Abowd, G. D., & Plötz, T. (2021) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 48

Applying Machine Learning for Sensor Data Analysis in Interactive Systems: Common Pitfalls of Pragmatic Use and Ways to Avoid Them

PlÖtz, T. (2022) · ACM Computing Surveys

Context-Aware Activity Recognition SystemsData Visualization and Analytics

Cited by 34

Past, Present, and Future of Sensor-based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task

Haresamudram, H., Tang, C. I., Suh, S., Lukowicz, P., & Plötz, T. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 33

Complex Deep Neural Networks from Large Scale Virtual IMU Data for Effective Human Activity Recognition Using Wearables

Kwon, H., Abowd, G. D., & Plötz, T. (2021) · Sensors

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 30

Investigating Enhancements to Contrastive Predictive Coding for Human Activity Recognition

Haresamudram, H., Essa, I., & Plötz, T. (2023) · 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom)

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 27

On specialized window lengths and detector based human activity recognition

Li, H., Abowd, G. D., & Plötz, T. (2018) · Proceedings of the 2018 ACM International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 19

If only we had more data!: Sensor-Based Human Activity Recognition in Challenging Scenarios

Plötz, T. (2023) · 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 16

Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition

Haresamudram, H., Essa, I., & Plötz, T. (2024) · Sensors

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 14

Deriving Effective Human Activity Recognition Systems through Objective Task Complexity Assessment

Hiremath, S. K., & Plötz, T. (2020) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 11

How Much Unlabeled Data is Really Needed for Effective Self-Supervised Human Activity Recognition?

Dhekane, S. G., Haresamudram, H., Thukral, M., & Plötz, T. (2023) · Proceedings of the 2023 International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 9