Welcome...

dr. M. Shoaib (Muhammad)

Publications

Recent Articles
Konak, S., Turan, F., Shoaib, M., & Durmaz, O. (2016). Feature Engineering for Activity Recognition from Wrist-Worn Motion Sensors. In Proceedings of the 6th International Joint Conference on Pervasive and Embedded Computing and Communication Systems, PECCS 2016 (pp. 76-84). Portugal: SCITEPRESS – Science and Technology Publications. DOI: 10.5220/0006007100760084
Shoaib, M., Scholten, J., Havinga, P. J. M., & Durmaz, O. (2016). A hierarchical lazy smoking detection algorithm using smartwatch sensors. In Proceedings of the IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom 2016) (pp. 117-122). USA: IEEE Computer Society. DOI: 10.1109/HealthCom.2016.7749439
Shoaib, M., Bosch, S., Durmaz, O., Scholten, J., & Havinga, P. J. M. (2015). Defining a Roadmap Towards Comparative Research in Online Activity Recognition on Mobile Phones. In Proceedings of the 5th International Conference on Pervasive and Embedded Computing and Communication Systems, PECCS 2015 (pp. 154-159). SCITEPRESS - Science and Technology Publications.
Shoaib, M., Bosch, S., Scholten, J., Havinga, P. J. M., & Durmaz, O. (2015). Towards detection of bad habits by fusing smartphone and smartwatch sensors. In Proceedings of the IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015 (pp. 591 -596). USA: IEEE Computer Society. DOI: 10.1109/PERCOMW.2015.7134104
Bosch, S., Shoaib, M., Geerlings, S., Buit, L., Meratnia, N., & Havinga, P. J. M. (2015). Analysis of Indoor Rowing Motion using Wearable Inertial Sensors. In Proceedings of the 10th EAI International Conference on Body Area Networks, BODYNETS 2015 (pp. -). New York: ACM. DOI: 10.4108/eai.28-9-2015.2261465
Shoaib, M. (2013). Human Activity Recognition Using Heterogeneous Sensors. In Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing, UbiComp'13 Adjunct (pp. -). New York: ACM.

UT Research Information System

Contact Details

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

Navigate to location

Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands