{"title":"The use of Spindle Feature Vectors in Wearable Devices for Sleep Monitoring and Analysis","authors":"Ioannis Krilis, T. Antonakopoulos","doi":"10.1109/ICCE-Berlin50680.2020.9352177","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin50680.2020.9352177","url":null,"abstract":"The influence of sleep quality on humans health is considered as one of the most important aspects for preventative care. During the last decade, several wearable sensors have been developed for monitoring bio-signals. In this work, we present the applicability of an automatic software tool, called Spindle Detection and Feature Extraction (SpiDeFex), developed for the analysis of multi-channel signals of professional EEG systems, in the consumer area. Using commercial devices based on lightweight, rechargeable pods that can sense, collect and transmit an EEG signal in real-time, we can extract information for sleep quality for commercial applications. This work presents the architecture and functionality of SpiDeFex, and based on experimental results, we demonstrate how it can be used for sleep quality monitoring and analysis in a consumer wearable device.","PeriodicalId":438631,"journal":{"name":"2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114313011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Leo Popokh, Pablo Olive, Ignacio Aldama, Yaseen Al-Doori, S. Nair
{"title":"Physical and Virtual Resources Inventory Modeling for Efficient VNF Placement","authors":"Leo Popokh, Pablo Olive, Ignacio Aldama, Yaseen Al-Doori, S. Nair","doi":"10.1109/ICCE-Berlin50680.2020.9352159","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin50680.2020.9352159","url":null,"abstract":"5G slice management supported by Network Function Virtualization (NFV) and cloud-native deployment is paramount for the rapid introduction of new 5G features like Enhanced Mobile Broadband (eMBB), Massive Machine Type Communications (MMTC), and Ultra-reliable Low Latency Communications (URLLC). The 5G and NFV transformation allow mobile operators to address further the needs of Internet of Things (IoT) and Edge Computing in a highly efficient manner. In this transformation, the efficient deployment and optimal placement of Virtual Network Functions (VNFs) is another critical enabler. It is crucial to efficiently perform physical and virtual resource allocation to keep End-to-End (E2E) delays and latencies minimal. In our research, while we aim to solve VNF efficient placement in a timely way, we must first address the information model and mapping of Network Function Virtualization Infrastructure (NFVI) physical and Virtualized Infrastructure Management (VIM) virtual resources. Based on the information model, derive the VNFs’ optimal placement to minimize the maximum distances across physical and virtual resources that are part of the VNF building blocks. In this paper we provide a methodology for real-time mapping of physical resources to the virtual components to create a uniform information catalogue that enables efficient placement of VNF components satisfying various service requirements.","PeriodicalId":438631,"journal":{"name":"2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133175456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Monitoring Indoor Living Spaces using Depth Information","authors":"C. J. Debono, Matthew Sacco, J. Ellul","doi":"10.1109/ICCE-Berlin50680.2020.9352158","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin50680.2020.9352158","url":null,"abstract":"Longer life expectancy is resulting in a steady increase in population that needs specific services to support their everyday routines. Public and private structures that provide services to these communities exist, however the increasing demands for service place these structures under stress and increased expenses. Assistive living systems can help reduce the demand and cost for these services by supporting the elderly at their homes, improving their quality of life in the process. In this paper we propose a solution that solely uses the depth information from RGB-D cameras to monitor the elderly within indoor living spaces. Deep learning on depth video data is used to detect the elderly and report the position to an application. This position information creates paths over time that can be monitored remotely by family members and caregivers to understand the behavior of the elderly and take appropriate action when needed. Experimental results show that the system manages to detect the person with an accuracy of 66.5% and a tracking accuracy of 59.1%.","PeriodicalId":438631,"journal":{"name":"2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133897276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniel Rohweder, Patrick Oleschak, S. Shavgulidze, J. Freudenberger
{"title":"Generalized Multistream Spatial Modulation Based on One Mannheim Error Correcting Codes and their Low-Complexity Detection","authors":"Daniel Rohweder, Patrick Oleschak, S. Shavgulidze, J. Freudenberger","doi":"10.1109/ICCE-Berlin50680.2020.9352168","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin50680.2020.9352168","url":null,"abstract":"This paper proposes a novel transmission scheme for generalized multistream spatial modulation. This new approach uses one Mannheim error correcting codes over Gaussian or Eisenstein integers as multidimensional signal constellations. These codes enable a suboptimal decoding strategy with near maximum likelihood performance for transmission over the additive white Gaussian noise channel. In this contribution, this decoding algorithm is generalized to the detection for generalized multistream spatial modulation. The proposed method can out-perform conventional generalized multistream spatial modulation with respect to decoding performance, detection complexity, and spectral efficiency.","PeriodicalId":438631,"journal":{"name":"2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132683111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Consumer and The Grid: A story about Balance","authors":"N. Pjevalica, V. Pjevalica, Nenad Petrović","doi":"10.1109/ICCE-Berlin50680.2020.9352186","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin50680.2020.9352186","url":null,"abstract":"Electrical energy - necessity of a society.","PeriodicalId":438631,"journal":{"name":"2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126516446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"On the Trade-off between Output SNR and Secret Key Generation Rate in Switch-and-Stay Combining","authors":"Ruslan Dautov, G. Tsouri","doi":"10.1109/ICCE-Berlin50680.2020.9352157","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin50680.2020.9352157","url":null,"abstract":"Switch-and-Stay Combining (SSC) is a widely used switched diversity technique that reduces receiver complexity and provides improvement in fading conditions. Until now, the main objective of SSC, was to provide favorable decoding performance. Current work proposes to augment this objective with the main goal of Wireless Physical Layer Security (WPLS) - fast and secure key generation. In a typical practical scenario for consumer electronics, where only one of the two participants employs switched diversity in the form of SSC, we consider a communication protocol where one correspondent always sends a request, while another responds. We show that under this assumption manipulating a switching threshold has a tremendous effect on the upper bound of Key Generation Rate (KGR). Thus, KGR improvement can reach up to 12%. More importantly, we show that maximizing the output SNR does not lead to the highest KGR, meaning that optimizing for both requires resolving a trade-off. If KGR is of priority, the loss in output SNR is approximately 0.4 dB.","PeriodicalId":438631,"journal":{"name":"2020 IEEE 10th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115310307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}