المؤلفون: Sofia Guridi, Mauranen Henry, Pouta Emmi, Semjonova Guna, Desale Tewelde Kahsay, Souza Leite Clayton, Riitta Rosio, Laura-Maria Peltonen, Miretta T., Sanna Salantera, Xiao Yu

المصدر: IEEE Access, Vol 12, Pp 22331-22344 (2024)

مصطلحات موضوعية: Wearable sensor, smart textiles, motion measurement, healthcare technology, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

العلاقة: https://ieeexplore.ieee.org/document/10418938Test/; https://doaj.org/toc/2169-3536Test

الوصول الحر: https://doaj.org/article/aac041e0826248ccaa87cf76baaafb77Test

المؤلفون: Guridi Sotomayor, Sofia, Mauranen, Henry, Pouta, Emmi, Semjonova, Guna, Tewelde Kahsay, Desale, Souza Leite, Clayton, Rosio, Riitta, Peltonen, Laura-Maria, Tommila, Miretta, Salanterä, Sanna, Xiao, Yu

المساهمون: Department of Design, Department of Information and Communications Engineering, Fashion/Textile Futures, Mobile Cloud Computing, University of Turku, Riga Stradins University, Aalto-yliopisto, Aalto University

مصطلحات موضوعية: Healthcare technology, Motion measurement, Smart textiles, Wearable sensor

وصف الملف: application/pdf

العلاقة: IEEE Access; Volume 12, pp. 22331-22344; Guridi Sotomayor, S, Mauranen, H, Pouta, E, Semjonova, G, Tewelde Kahsay, D, Souza Leite, C, Rosio, R, Peltonen, L-M, Tommila, M, Salanterä, S & Xiao, Y 2024, ' A Proof-of-Concept Study on Smart Gloves for Real-Time Chest Compression Performance Monitoring ', IEEE Access, vol. 12, pp. 22331-22344 . https://doi.org/10.1109/ACCESS.2024.3361663Test; PURE UUID: 189e4172-ab6a-4713-a689-3db68930cde3; PURE ITEMURL: https://research.aalto.fi/en/publications/189e4172-ab6a-4713-a689-3db68930cde3Test; PURE LINK: http://www.scopus.com/inward/record.url?scp=85184336018&partnerID=8YFLogxKTest; PURE FILEURL: https://research.aalto.fi/files/136860637/A_Proof-of-Concept_Study_on_Smart_Gloves_for_Real-Time_Chest_Compression_Performance_Monitoring.pdfTest; https://aaltodoc.aalto.fi/handle/123456789/126873Test; URN:NBN:fi:aalto-202403062508

الإتاحة: https://doi.org/10.1109/ACCESS.2024.3361663Test
https://aaltodoc.aalto.fi/handle/123456789/126873Test

المؤلفون: Zhanabatyrova, Aziza, Souza Leite, Clayton, Xiao, Yu

المساهمون: Department of Information and Communications Engineering, Mobile Cloud Computing, Aalto-yliopisto, Aalto University

وصف الملف: application/pdf

العلاقة: ACM Transactions on Internet of Things; Volume 5, issue 1; Zhanabatyrova, A, Souza Leite, C & Xiao, Y 2024, ' Structure from Motion-Based Mapping for Autonomous Driving: Practice and Experience ', ACM Transactions on the Internet of Things, vol. 5, no. 1, 6 . https://doi.org/10.1145/3631533Test; PURE UUID: 11a5b547-1fe9-4c60-b2c1-9d3f9b9f48f2; PURE ITEMURL: https://research.aalto.fi/en/publications/11a5b547-1fe9-4c60-b2c1-9d3f9b9f48f2Test; PURE LINK: http://www.scopus.com/inward/record.url?scp=85183328348&partnerID=8YFLogxKTest; PURE FILEURL: https://research.aalto.fi/files/129722163/3631533.pdfTest; https://aaltodoc.aalto.fi/handle/123456789/126677Test; URN:NBN:fi:aalto-202402072336

الإتاحة: https://doi.org/10.1145/3631533Test
https://aaltodoc.aalto.fi/handle/123456789/126677Test

المؤلفون: Zhanabatyrova, Aziza, Souza Leite, Clayton, Xiao, Yu

المساهمون: Department of Information and Communications Engineering, Mobile Cloud Computing, Aalto-yliopisto, Aalto University

مصطلحات موضوعية: autonomous driving, Cameras, change detection, localization, Location awareness, mapping, Pipelines, Point cloud compression, Semantic segmentation, Semantics, structure from motion, Three-dimensional displays

وصف الملف: 11825-11843; application/pdf

العلاقة: info:eu-repo/grantAgreement/EC/H2020/825496/EU//5G-MOBIX; IEEE Internet of Things Journal; Volume 10, issue 13; Zhanabatyrova, A, Souza Leite, C & Xiao, Y 2023, ' Automatic Map Update Using Dashcam Videos ', IEEE Internet of Things Journal, vol. 10, no. 13, pp. 11825-11843 . https://doi.org/10.1109/JIOT.2023.3244693Test; PURE UUID: 7469d598-7eb0-40fa-9c16-ea7086bddd78; PURE ITEMURL: https://research.aalto.fi/en/publications/7469d598-7eb0-40fa-9c16-ea7086bddd78Test; PURE LINK: http://www.scopus.com/inward/record.url?scp=85149415790&partnerID=8YFLogxKTest; PURE FILEURL: https://research.aalto.fi/files/118051777/Automatic_Map_Update_Using_Dashcam_Videos.pdfTest; https://aaltodoc.aalto.fi/handle/123456789/122366Test; URN:NBN:fi:aalto-202308114715

الإتاحة: https://doi.org/10.1109/JIOT.2023.3244693Test
https://aaltodoc.aalto.fi/handle/123456789/122366Test

المؤلفون: Souza Leite, Clayton, Xiao, Yu

المساهمون: Department of Communications and Networking, Aalto-yliopisto, Aalto University

وصف الملف: application/pdf

العلاقة: ACM Transactions on Embedded Computing Systems; Volume 21, issue 6; Souza Leite , C & Xiao , Y 2022 , ' Resource-Efficient Continual Learning for Sensor-Based Human Activity Recognition ' , ACM Transactions on Embedded Computing Systems , vol. 21 , no. 6 , 85 , pp. 1-25 . https://doi.org/10.1145/3530910Test; PURE UUID: f0e72039-b13a-43c1-ad1e-e4bef0d23a14; PURE ITEMURL: https://research.aalto.fi/en/publications/f0e72039-b13a-43c1-ad1e-e4bef0d23a14Test; PURE LINK: http://www.scopus.com/inward/record.url?scp=85146434782&partnerID=8YFLogxKTest; PURE FILEURL: https://research.aalto.fi/files/94804288/3530910.pdfTest; https://aaltodoc.aalto.fi/handle/123456789/118563Test; URN:NBN:fi:aalto-202212227301

الإتاحة: https://doi.org/10.1145/3530910Test
https://aaltodoc.aalto.fi/handle/123456789/118563Test

المؤلفون: Souza Leite, Clayton, Xiao, Yu

المساهمون: Department of Communications and Networking, Mobile Cloud Computing, Aalto-yliopisto, Aalto University

مصطلحات موضوعية: Human activity recognition, deep learning, adversarial learning, data augmentation, cross-subject performance

وصف الملف: 90542-90554; application/pdf

العلاقة: info:eu-repo/grantAgreement/EC/H2020/777222/EU//ATTRACT; IEEE Access; Volume 8; Souza Leite, C & Xiao, Y 2020, ' Improving Cross-Subject Activity Recognition via Adversarial Learning ', IEEE Access, vol. 8, 9091200, pp. 90542-90554 . https://doi.org/10.1109/ACCESS.2020.2993818Test; PURE UUID: 9b0282e2-c071-48ee-9d1c-b701118273ef; PURE ITEMURL: https://research.aalto.fi/en/publications/9b0282e2-c071-48ee-9d1c-b701118273efTest; PURE LINK: http://www.scopus.com/inward/record.url?scp=85085573859&partnerID=8YFLogxKTest; PURE FILEURL: https://research.aalto.fi/files/43528914/Leite_Improving_cross_subject_IEEEAccess.pdfTest; https://aaltodoc.aalto.fi/handle/123456789/45177Test; URN:NBN:fi:aalto-202006254134

الإتاحة: https://doi.org/10.1109/ACCESS.2020.2993818Test
https://aaltodoc.aalto.fi/handle/123456789/45177Test

المؤلفون: Souza Leite, Clayton Frederick, Byvshev, Petr, Mauranen, Henry, Xiao, Yu

المصدر: SSRN Electronic Journal ; ISSN 1556-5068

مصطلحات موضوعية: Industrial and Manufacturing Engineering, Polymers and Plastics, History, Business and International Management

الإتاحة: https://doi.org/10.2139/ssrn.4195252Test

المؤلفون: Souza Leite, Clayton Frederick, Xiao, Yu

المساهمون: European Union's Horizon 2020 Research and Innovation Programme, Business Finland

المصدر: Proceedings of the 21st International Workshop on Mobile Computing Systems and Applications

الإتاحة: https://doi.org/10.1145/3376897.3377859Test

المؤلفون: Souza Leite, Clayton Frederick

المساهمون: Díaz-Kommonen, Lily , Prof. Aalto University, Finland, Sähkötekniikan korkeakoulu, School of Electrical Engineering, Tietoliikenne- ja tietoverkkotekniikan laitos, Department of Communications and Networking, Xiao, Yu, Prof., Aalto University, Department of Communications and Networking, Finland, Mobile Cloud Computing, Aalto-yliopisto, Aalto University

مصطلحات موضوعية: Electrical engineering, human activity recognition, deep learning, resource efficiency, data efficiency, simulation-driven design

وصف الملف: application/pdf

العلاقة: Aalto University publication series DOCTORAL THESES; 172/2022; [Publication 1]: Clayton Frederick Souza Leite and Yu Xiao. 2020. Improving Resource Efficiency of Deep Activity Recognition via Redundancy Reduction. In Proceedings of the 21st International Workshop on Mobile Computing Systems and Applications (HotMobile ’20). Association for Computing Machinery, New York, NY, USA, 33–38. Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-202004282890Test. DOI:10.1145/3376897.3377859; [Publication 2]: Clayton Frederick Souza Leite and Yu Xiao. 2020. Improving Crosssubject Activity Recognition via Adversarial Learning. IEEE Access, vol. 8, 90542–90554. Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-202006254134Test. DOI:10.1109/ACCESS.2020.2993818; [Publication 3]: Clayton Frederick Souza Leite and Yu Xiao. 2021. Optimal sensor channel selection for resource-efficient deep activity recognition. In Proceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021) (IPSN ’21). Association for Computing Machinery, New York, NY, USA, 371–383. Full text in Acris/Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-202106167405Test. DOI:10.1145/3412382.3458278; [Publication 4]: Clayton Frederick Souza Leite and Yu Xiao. 2022. Resource-Efficient Continual Learning for Sensor-Based Human Activity Recognition. ACM Transactions on Embedded Computing Systems. Advance online publication. DOI:10.1145/3530910; [Publication 5]: Clayton Frederick Souza Leite, Petr Byvshev, Henry Mauranen and Yu Xiao. 2022. Simulation-driven Design of Smart Gloves for Gesture Recognition. Manuscript submitted for publication; 1799-4942 (electronic); 1799-4934 (printed); 1799-4934 (ISSN-L); https://aaltodoc.aalto.fi/handle/123456789/117895Test; URN:ISBN:978-952-64-1031-9

الإتاحة: https://doi.org/10.1145/3376897.3377859Test
https://doi.org/10.1109/ACCESS.2020.2993818Test
https://doi.org/10.1145/3412382.3458278Test
https://doi.org/10.1145/3530910Test
https://aaltodoc.aalto.fi/handle/123456789/117895Test

المؤلفون: Frederick Souza, Leite Clayton, Marília Cordeiro, Cavalcanti

مصطلحات موضوعية: T2 Technology (General) / műszaki tudományok általában

وصف الملف: text

العلاقة: http://real.mtak.hu/149511/1/MTK3_43_LeiteClaytonMar%C3%ADlia4_old.pdfTest; Frederick Souza, Leite Clayton and Marília Cordeiro, Cavalcanti (2015) Roboguide 3D-s szimulációs rendszer bemutatása és elemzése. Műszaki Tudományos Közlemények (3). pp. 203-206. ISSN 2393-1280

الإتاحة: https://doi.org/10.33895/mtk-2015.03.43Test
http://real.mtak.hu/149511Test/
http://real.mtak.hu/149511/1/MTK3_43_LeiteClaytonMar%C3%ADlia4_old.pdfTest