Deep Learning-based ECG Classification on Raspberry PI using a Tensorflow Lite Model based on PTB-XL Dataset

Autor: Sharma, Kushagra, Eskicioglu, Rasit

The number of IoT devices in healthcare is expected to rise sharply due to increased demand since the COVID-19 pandemic. Deep learning and IoT devices are being employed to monitor body vitals and automate anomaly detection in clinical and non-clinic

Externí odkaz: http://arxiv.org/abs/2209.00989

Automated estimation of link quality for Lora

Autor: Demetri, Silvia, Zuniga, Marco, Picco, Gian Pietro, Kuipers, F.A., Bruzzone, Lorenzo, Telkamp, Thomas, Eskicioglu, Rasit

Publikováno v: IPSN 2019-Proceedings of the 2019 Information Processing in Sensor Networks: Proceedings of the 2019 Information Processing in Sensor Networks
IPSN 2019-Proceedings of the 2019 Information Processing in Sensor Networks
IPSN

Many research and industrial communities are betting on LoRa to provide reliable, long-range communication for the Internet of Things. This new radio technology, however, provides widely heterogeneous coverage; a LoRa link may span hundreds of meters

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02769e02a93e4eaeba24ac0348f2ae5f
http://resolver.tudelft.nl/uuid:ec90cb5b-99d6-40c0-a3ce-aa0fd478b2f9

Poster abstract: Human activity recognition using motion sensors

Autor: Jeong, Soyoung, Kim, Taewoo, Eskicioglu, Rasit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=unidue___bib::c1a2d1a49a9866be4fcbfd09fa99bf7a
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85061747662

Guidelines for Designing Awareness-Augmented Mobile DUIs.

Autor: Ens, Barrett¹ (AUTHOR), Eskicioglu, Rasit¹ (AUTHOR), Irani, Pourang¹ (AUTHOR) irani@cs.umanitoba.ca

Publikováno v: International Journal of Human-Computer Interaction. Nov2012, Vol. 28 Issue 11, p730-736. 7p. 1 Diagram, 2 Charts.

Communicating affect via flight path Exploring use of the Laban Effort System for designing affective locomotion paths.

Autor: Sharma, Megha, Hildebrandt, Dale, Newman, Gem, Young, James E., Eskicioglu, Rasit

Publikováno v: 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI); 2013, p293-300, 8p