{"title":"A wireless biosignal measurement system using a SoC FPGA and Bluetooth Low Energy","authors":"Ricardo Joaquinito, H. Sarmento","doi":"10.1109/ICCE-Berlin.2016.7684711","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2016.7684711","url":null,"abstract":"This paper presents the development of a prototype for a wireless biosignal measurement system, which makes use of a System-on-Chip FPGA, with an embedded ARM processor, and the Bluetooth Low Energy standard for wireless data transmission to a smartphone. The body temperature and heart rate are monitored using a steel-head thermistor and an ECG acquisition module, respectively. The ARM processor runs a Real-Time Operating System. A part of the algorithm that extracts the heart rate runs on custom hardware implemented in the FPGA fabric. The prototype successfully extracts the vital signs and sends updated values to a smartphone every second.","PeriodicalId":408379,"journal":{"name":"2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131566360","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":"Real-time lane detection and departure warning system on embedded platform","authors":"Youngwan Lee, Hakil Kim","doi":"10.1109/ICCE-Berlin.2016.7684702","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2016.7684702","url":null,"abstract":"Within the last few years, studies on Advanced Driver Assistance Systems (ADAS) have been actively conducted and deployed in modern vehicles; moreover, lane detection and departure warning systems are important modules of ADAS. However, most of the recent papers have only focused on PC-based lane detection modules, and very few concerns have been addressed for the customized embedded board. This paper proposes a real-time lane detection and departure warning technique on a commercial embedded board. The technique is based on Inverse Perspective Mapping (IPM) generating a topview image of the road and Kalman filter tracking removing noise and enhancing accuracy. The experimental results show good performance with an average correct detection rate of 96% under various challenging urban and highway conditions while the processing time takes only 22.76 ms per frame (1280×720) on the embedded board which verifies that the proposed method could be feasible for real-time applications in commercial ADAS products.","PeriodicalId":408379,"journal":{"name":"2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130044531","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":"Hand detection using facial information","authors":"S. Han, Seokmok Park, Min-jae Kim, J. Paik","doi":"10.1109/ICCE-Berlin.2016.7684746","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2016.7684746","url":null,"abstract":"This paper presents a robust hand detection algorithm using the facial information. The proposed algorithm consists of four steps: (i) detection of a face, (ii) generation of regions of interest (ROI) to detect hands, (iii) skin color extraction from the face region, and (iv) detection of hands using the face skin color in the ROI. The proposed algorithm can reduce false detection caused by a similar skin color, and provides a successful detection rate up to 92 percent.","PeriodicalId":408379,"journal":{"name":"2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115067674","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":"Integration of vehicle and lane detection for forward collision warning system","authors":"Huieun Kim, Youngwan Lee, Taekang Woo, Hakil Kim","doi":"10.1109/ICCE-Berlin.2016.7684703","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2016.7684703","url":null,"abstract":"The capability of automated vehicles with intelligent on-board systems aimed at improving traffic safety has been in constant advance. This paper proposes an integrated module of lane and vehicle detection for a forward collision warning system that can be embedded in an autonomous driving system operating in real time. Integration of lane and vehicle detection provides more precise information for driving environments by using geometric consideration of the roads, and achieves synergistic effects for rejecting false alarms by adjusting ground constraints. Also, once the vehicle is localized in ego-lane, it is able to estimate the distance between the front and ego-vehicle. The experimental results in this paper, conducted on a real road dataset, verify the applicability of the proposed work for advanced driver assistance systems.","PeriodicalId":408379,"journal":{"name":"2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124035805","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}
G. Garcia-Santiago, V. Jiménez-Fernández, J. García-Guzmán, H. Vázquez-Leal, U. Filobello-Niño, Norberto Carrillo-Ramon, F. Villa-López
{"title":"Embedded microcontroller system for piecewise-linear laser projection","authors":"G. Garcia-Santiago, V. Jiménez-Fernández, J. García-Guzmán, H. Vázquez-Leal, U. Filobello-Niño, Norberto Carrillo-Ramon, F. Villa-López","doi":"10.1109/ICCE-Berlin.2016.7684765","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2016.7684765","url":null,"abstract":"This paper describes a first approach of a microcontroller system specifically dedicated to implement the socalled piecewise-linear method for laser projection. An embedded system based on the Atmel AVR microcontroller is designed to control a dual-axis galvo motor/mirror assembly in accordance with the evaluation of a couple of one-dimensional piecewise-linear functions. Such functions are derived from a parametric decomposition of the curve to be sketched by laser projection. By this hardware realization, the well-known advantages (less memory consumption and sharpness of projected figures) of the piecewise-linear method over the commercial point-based, standard can be verified.","PeriodicalId":408379,"journal":{"name":"2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132535377","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}
A. Baldini, L. Ciabattoni, R. Felicetti, F. Ferracuti, S. Longhi, A. Monteriù, A. Freddi
{"title":"Room occupancy detection: Combining RSS analysis and fuzzy logic","authors":"A. Baldini, L. Ciabattoni, R. Felicetti, F. Ferracuti, S. Longhi, A. Monteriù, A. Freddi","doi":"10.1109/ICCE-Berlin.2016.7684720","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2016.7684720","url":null,"abstract":"In this paper we focus our attention on the world of Internet of Things (IoT) objects and their potential for human indoor localization. Our aim is to investigate how Received Signal Strength (RSS) can be effectively used for identifying the position of a person at home, by exploiting common IoT communication networks. We propose a plug and play solution where the Anchor Nodes (ANs) are represented by smart objects located in the house, while the Unknown Node (UN) can be any smart object held by the user. The proposed solution automatically identifies the rooms where the smart objects are placed, by comparing a fuzzy weighted distance matrix derived from the anchor signals, with a threshold weighted distance matrix derived from the distances between rooms. The information can be easily integrated in any IoT environment to provide the estimation of the user position, without requiring the a priori knowledge of the positions of the anchor nodes.","PeriodicalId":408379,"journal":{"name":"2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126898080","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}
Byeongho Moon, Soohwan Yu, Seungyong Ko, Seonhee Park, J. Paik
{"title":"Local self similarity-based super-resolution for asymmetric dual-camera","authors":"Byeongho Moon, Soohwan Yu, Seungyong Ko, Seonhee Park, J. Paik","doi":"10.1109/ICCE-Berlin.2016.7684713","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2016.7684713","url":null,"abstract":"This paper presents a super-resolution (SR) method for the asymmetric dual-camera system. The proposed method restores the high-resolution (HR) image using the local self-similarity between two input images as wide- and tele-view images. The proposed method consists of three steps: registration and warping processes to reduce the disparity between the input images, high-frequency patch extraction from the tele-view image, and super-resolution reconstruction using local self-similarity property. Experimental results show that the proposed method can significantly restore the HR image than existing interpolation and SR methods.","PeriodicalId":408379,"journal":{"name":"2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127620969","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}
Chen-Yu Su, Chun-Yi Hsiao, Ren-Guey Lee, Jyh-Horng Chen
{"title":"TaoBall: An interactive IoT ball design for rehabilitation","authors":"Chen-Yu Su, Chun-Yi Hsiao, Ren-Guey Lee, Jyh-Horng Chen","doi":"10.1109/ICCE-Berlin.2016.7684708","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2016.7684708","url":null,"abstract":"Internet of things (IoT) and cloud service have been rapidly applied to various fields such as industry, smart home, or creative applications in daily life. In this paper, we propose to integrate a powerful smart IoT device, TaoBall with a Smartphone App to improve rehabilitation performance and convenience. The system designs and implements a few customized home-based games for muscle training and working memory (WM) training. The system is simple and thus easy for elderly people to increase their daily activity and also prevent their functional deterioration. The preliminary results show the reference index for suitable setting for two games in real test. In the future, our rehabilitation system can be applied to clinical study for more patients to do rehabilitation easily at their homes without assistance from physical therapist.","PeriodicalId":408379,"journal":{"name":"2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121425309","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":"Enhanced hierarchical motion estimator beyond Targeted Content","authors":"D. Hepper","doi":"10.1109/ICCE-Berlin.2016.7684715","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2016.7684715","url":null,"abstract":"A hierarchical motion estimator developed for Targeted Content applications has been extended from estimating the motion of some defined points of interest to providing motion vectors for all pixels in a frame. It includes an arbitrarily large search range, DFD-based segmentation (displaced frame differences) of the measurement window for improved results near distracting moving objects, enhanced search procedures, bidirectional and sub-pel motion estimation.","PeriodicalId":408379,"journal":{"name":"2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126972013","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":"How bright of luminance is needed for outdoor commercial display?","authors":"Lee Hee Eun, Kim Jae Hong","doi":"10.1109/ICCE-Berlin.2016.7684740","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2016.7684740","url":null,"abstract":"The purpose of this study is to identify luminance requirements for outdoor commercial display. To find luminance requirements, both outdoor and indoor experiments were carried out by considering actual viewing conditions of outdoor commercial display. As a result, luminance requirements are determined brighter than 3,000 cd/m2 when the ambient illuminance is 50,000 lux.","PeriodicalId":408379,"journal":{"name":"2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131757319","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}