Roggen, Daniel

Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

Ordóñez, F., & Roggen, D. (2016) · Sensors

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 2,761

Collecting complex activity datasets in highly rich networked sensor environments

Roggen, D., Calatroni, A., Rossi, M., Holleczek, T., Forster, K., Troster, G., Lukowicz, P., Bannach, D., Pirkl, G., Ferscha, A., et al. (2010) · 2010 Seventh International Conference on Networked Sensing Systems (INSS)

Context-Aware Activity Recognition SystemsWireless Sensor Networks for Data Analysis

Cited by 788

The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition

Chavarriaga, R., Sagha, H., Calatroni, A., Digumarti, S. T., Tröster, G., Millán, J. D. R., & Roggen, D. (2013) · Pattern Recognition Letters

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 742

Wearable Assistant for Parkinson’s Disease Patients With the Freezing of Gait Symptom

Bachlin, M., Plotnik, M., Roggen, D., Maidan, I., Hausdorff, J. M., Giladi, N., & Troster, G. (2010) · IEEE Transactions on Information Technology in Biomedicine

Balance, Gait, and Falls PreventionContext-Aware Activity Recognition Systems

Cited by 693

Wearable Activity Tracking in Car Manufacturing

Stiefmeier, T., Roggen, D., Ogris, G., Lukowicz, P., & Tr, G. (2008) · IEEE Pervasive Computing

Context-Aware Activity Recognition SystemsInteractive and Immersive Displays

Cited by 367

Activity Recognition from On-Body Sensors: Accuracy-Power Trade-Off by Dynamic Sensor Selection

Zappi, P., Lombriser, C., Stiefmeier, T., Farella, E., Roggen, D., Benini, L., & Tröster, G. (2008) · Lecture Notes in Computer Science

Context-Aware Activity Recognition SystemsWireless Body Area Networks

Cited by 329

Online Detection of Freezing of Gait with Smartphones and Machine Learning Techniques

Mazilu, S., Hardegger, M., Zhu, Z., Roggen, D., Troester, G., Plotnik, M., & Hausdorff, J. (2012) · Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare

Balance, Gait, and Falls PreventionGait Recognition and Analysis

Cited by 231

Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations

Morales, F. J. O., & Roggen, D. (2016) · Proceedings of the 2016 ACM International Symposium on Wearable Computers

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

Cited by 136

Activity recognition from on-body sensors by classifier fusion: sensor scalability and robustness

Zappi, P., Stiefmeier, T., Farella, E., Roggen, D., Benini, L., & Troster, G. (2007) · 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information

Context-Aware Activity Recognition SystemsWireless Body Area Networks

Cited by 126

Opportunistic Human Activity and Context Recognition

Roggen, D., Troster, G., Lukowicz, P., Ferscha, A., del R. Millan, J., & Chavarriaga, R. (2013) · Computer

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

Cited by 77

Opportunity++: A Multimodal Dataset for Video- and Wearable, Object and Ambient Sensors-Based Human Activity Recognition

Ciliberto, M., Fortes Rey, V., Calatroni, A., Lukowicz, P., & Roggen, D. (2021) · Frontiers in Computer Science

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 35

Collection and curation of a large reference dataset for activity recognition

Calatroni, A., Roggen, D., & Troster, G. (2011) · 2011 IEEE International Conference on Systems, Man, and Cybernetics

Context-Aware Activity Recognition SystemsMobile Crowdsensing and Crowdsourcing

Cited by 13

Exploring human activity annotation using a privacy preserving 3D model

Ciliberto, M., Roggen, D., & Morales, F. J. O. (2016) · Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

Context-Aware Activity Recognition SystemsMobile Crowdsensing and Crowdsourcing

Cited by 7

Physically plausible data augmentations in contrastive learning for wearable IMU-based activity recognition

Oishi, N., Birch, P., Lago, P., & Roggen, D. (2026) · Knowledge-Based Systems

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

Cited by 1