@article{agacresource,title={Resource-efficient, sensor-based human activity recognition with lightweight deep models boosted with attention},author={Agac, Sumeyye and Incel, Ozlem Durmaz},journal={Computers and Electrical Engineering},volume={117},pages={109274},year={2024},publisher={Elsevier},url={https://doi.org/10.1016/j.compeleceng.2024.109274},doi={10.1016/j.compeleceng.2024.109274}}
IE
Boosting the performance of lightweight HAR models with attention and knowledge distillation
Sumeyye Agac and Ozlem Durmaz Incel
In 2024 International Conference on Intelligent Environments, 2024
@inproceedings{agacboosting,author={Agac, Sumeyye and Incel, Ozlem Durmaz},booktitle={2024 International Conference on Intelligent Environments},title={Boosting the performance of lightweight HAR models with attention and knowledge distillation},year={2024},volume={},number={},pages={1-8},keywords={Performance evaluation;Degradation;Deep learning;Attention mechanisms;Quantization (signal);Computational modeling;Sensors;attention mechanism;human activity recognition;deep learning;knowledge distillation},doi={10.1109/IE61493.2024.10599908},url={https://doi.org/10.1109/IE61493.2024.10599908},}
2023
Diagnostics
On the use of a convolutional block attention module in deep learning-based human activity recognition with motion sensors
@article{agacontheuse,title={On the use of a convolutional block attention module in deep learning-based human activity recognition with motion sensors},author={Agac, Sumeyye and Durmaz Incel, Ozlem},journal={Diagnostics},volume={13},number={11},pages={1861},year={2023},publisher={MDPI},url={https://www.mdpi.com/2075-4418/13/11/1861},doi={10.3390/diagnostics13111861}}
SN Comput. Sci.
User authentication and identification on smart glasses with motion sensors
@article{agacuser,title={User authentication and identification on smart glasses with motion sensors},author={Agac, Sumeyye and Incel, Ozlem Durmaz},journal={SN Computer Science},volume={4},number={6},pages={761},year={2023},publisher={Springer},url={https://doi.org/10.1007/s42979-023-02202-4},doi={10.1007/s42979-023-02202-4}}
2022
SIU
Effect of social network and mass media on turnout rates in Italy
Cansu Damla Yilmaz, Safa Nur Altuncu Kaan, Sumeyye Agac, and 1 more author
In 2022 30th Signal Processing and Communications Applications Conference, 2022
@inproceedings{cansueffect,author={Yilmaz, Cansu Damla and Kaan, Safa Nur Altuncu and Agac, Sumeyye and Gundogdu, Didem},booktitle={2022 30th Signal Processing and Communications Applications Conference},title={Effect of social network and mass media on turnout rates in Italy},year={2022},volume={},number={},pages={1-4},keywords={TV;Social networking (online);Industrial relations;Linear regression;Entertainment industry;Organizations;Media;linear regression;statistics;social network;mass media;Italian politics;turnout rate},doi={10.1109/SIU55565.2022.9864757},url={https://doi.org/10.1109/SIU55565.2022.9864757},}
2021
Comput. Electr. Eng.
Context-aware and dynamically adaptable activity recognition with smart watches: A case study on smoking
Sumeyye Agac, Muhammad Shoaib, and Ozlem Durmaz Incel
@article{agaccontext,title={Context-aware and dynamically adaptable activity recognition with smart watches: A case study on smoking},author={Agac, Sumeyye and Shoaib, Muhammad and Incel, Ozlem Durmaz},journal={Computers and Electrical Engineering},volume={90},pages={106949},year={2021},publisher={Elsevier},url={https://doi.org/10.1016/j.compeleceng.2020.106949},doi={10.1016/j.compeleceng.2020.106949}}
Balkan J. Electr. Comput. Eng.
Evaluation of deep learning odels for smoking recognition with smartwatch and smartphone sensors
Yasemin Akan, Sumeyye Agac, and Ozlem Durmaz Incel
Balkan Journal of Electrical and Computer Engineering, 2021
@article{akanevaluation,title={Evaluation of deep learning odels for smoking recognition with smartwatch and smartphone sensors},author={Akan, Yasemin and Agac, Sumeyye and Incel, Ozlem Durmaz},journal={Balkan Journal of Electrical and Computer Engineering},volume={9},number={4},pages={354--364},year={2021},publisher={MUSA YILMAZ},doi={10.17694/bajece.827342},url={https://doi.org/10.17694/bajece.827342},}
2020
JAISE
Smoking recognition with smartwatch sensors in different postures and impact of user’s height
Sumeyye Agac, Muhammad Shoaib, and Ozlem Durmaz Incel
Journal of Ambient Intelligence and Smart Environments, 2020
@article{agacsmoking,title={Smoking recognition with smartwatch sensors in different postures and impact of user’s height},author={Agac, Sumeyye and Shoaib, Muhammad and Durmaz Incel, Ozlem},journal={Journal of Ambient Intelligence and Smart Environments},volume={12},number={3},pages={239--261},year={2020},publisher={SAGE Publications Sage UK: London, England},url={https://doi.org/10.3233/AIS-200558},doi={10.3233/AIS-200558}}
2018
ICENTE
Fusion of smartphone and smartwatch sensors for smoking recognition
Sumeyye Agac, Muhammad Shoaib, and Ozlem Incel
In International Conference on Engineering Technologies, Oct 2018
@inproceedings{agacfusion,author={Agac, Sumeyye and Shoaib, Muhammad and Incel, Ozlem},booktitle={International Conference on Engineering Technologies},year={2018},month=oct,pages={},title={Fusion of smartphone and smartwatch sensors for smoking recognition},}
2016
PECCS
Feature engineering for activity recognition from wrist-worn motion sensor
Sumeyye Konak, Fulya Turan, Muhammad Shoaib, and 1 more author
In Proceedings of the 6th International Joint Conference on Pervasive and Embedded Computing and Communication Systems, Lisbon, Portugal, Oct 2016
@inproceedings{konakfeature,author={Konak, Sumeyye and Turan, Fulya and Shoaib, Muhammad and Incel, Ozlem Durmaz},title={Feature engineering for activity recognition from wrist-worn motion sensor},year={2016},isbn={9789897581953},publisher={SCITEPRESS - Science and Technology Publications, Lda},address={Setubal, PRT},url={https://doi.org/10.5220/0006007100760084},doi={10.5220/0006007100760084},booktitle={Proceedings of the 6th International Joint Conference on Pervasive and Embedded Computing and Communication Systems},pages={76–84},numpages={9},keywords={Activity Recognition, Mobile Sensing., Motion Sensing, Wrist-worn Devices},location={Lisbon, Portugal},series={PECCS 2016},}