A. Adeyemi-Ejeye, M. Mehdi, M. Martini, N. Phillip, J. Orwell
{"title":"Design of a hybrid multi-occupant visitor communication and door control system","authors":"A. Adeyemi-Ejeye, M. Mehdi, M. Martini, N. Phillip, J. Orwell","doi":"10.1109/ICCE-Berlin.2017.8210639","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2017.8210639","url":null,"abstract":"Door phone systems, allowing occupants of a building to communicate with visitors at the door, have evolved over the years, with the current advancements being a fully internet protocol (IP) based solution. In order to adopt newer IP based solutions, current analogue systems can be replaced, yet this may be costly and cumbersome, especially in a conventional multi-occupant building. We therefore propose an architecture which supports current analogue door phone systems, and also provides IP based functionality. We have implemented the proposed architecture based on SIP, WebRTC and an IoT gateway system connected to the multi-occupant conventional video door phone system.","PeriodicalId":355536,"journal":{"name":"2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128530407","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":"Hierarchical search of optimal limbus circle matching for gaze tracking systems","authors":"W. Kao, Yi-Chin Chiu","doi":"10.1109/ICCE-Berlin.2017.8210635","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2017.8210635","url":null,"abstract":"The core technology of visible light gaze tracking (VLGT) system is the determination of iris contour (limbus circle) on the eye image. In this paper, we proposed a hierarchical search scheme for the matching between the ellipse models and the iris contour on the eye image. The experimental results show the proposed hierarchical search scheme efficiently matches the rotating models of human eyes with the limbus circle on an input image.","PeriodicalId":355536,"journal":{"name":"2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128462489","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":"A robust scan-based side-channel attack method against HMAC-SHA-256 circuits","authors":"Daisuke Oku, M. Yanagisawa, N. Togawa","doi":"10.1109/ICCE-Berlin.2017.8210596","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2017.8210596","url":null,"abstract":"A scan-based side-channel attack is still a real threat against a crypto circuit as well as a hash generator circuit, which can restore secret information by exploiting the scan data obtained from scan chains inside the chip during its processing. In this paper, we propose a scan-based attack method against a hash generator circuit called HMAC-SHA-256. Our proposed method restores the secret information by finding out the correspondence between the scan data obtained from a scan chain and the internal registers in the target HMAC-SHA-256 circuit, even if the scan chain includes registers other than the target hash generator circuit and an attacker does not know well the hash generation timing. Experimental results show that our proposed method successfully restores two secret keys of the HMAC-SHA-256 circuit in at most 6 hours.","PeriodicalId":355536,"journal":{"name":"2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121321346","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 visual odometry algorithm based on elite selection method and voting system","authors":"Hao Shen, C. Hsu, Wei-Yen Wang, Yin-Tien Wang","doi":"10.1109/ICCE-Berlin.2017.8210602","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2017.8210602","url":null,"abstract":"In this paper, we address the problems of camera pose estimation accuracy and runtime efficiency by incorporating an elite selection method and a voting system to a conventional visual odometry (VO) method, called the “enhanced VO algorithm”. The use of elite selection method improves the efficiency of perspective-3-point (P3P) algorithm by only employing an elite subset of landmarks to estimate the camera pose. The proposed voting system, on the other hand, provides reliable consensus set derived from random sample consensus (RANSAC) algorithm such that accuracy of camera pose estimations can be increased. To verify the performances of the proposed approach, we conducted various experiments using a Kinect RGB-D sensor, and the results show that the proposed VO system performs well in terms of not only estimation accuracy but also computational time.","PeriodicalId":355536,"journal":{"name":"2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"204 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130540397","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}
Shen-Ho Liu, C. Hsu, Wei-Yen Wang, Mei-Yung Chen, Yin-Tien Wang
{"title":"Improved visual odometry system based on kinect RGB-D sensor","authors":"Shen-Ho Liu, C. Hsu, Wei-Yen Wang, Mei-Yung Chen, Yin-Tien Wang","doi":"10.1109/ICCE-Berlin.2017.8210581","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2017.8210581","url":null,"abstract":"In conventional visual odometry (VO) systems, perspective-n-point (PnP) method and random sample consensus (RANSAC) algorithm are generally used to estimate camera poses. However, heavy computational burden is incurred, and the pose estimations are not reliable as well. Therefore, in this paper, an improved VO system is proposed, where an off-line camera calibration method is used to obtain lesser measurement errors of image features. Moreover, an improved approach of P3P algorithm is proposed to increase the efficiency of the VO system. To validate the performances of the proposed approach, several experiments are conducted based on a Kinect sensor, where accuracy of pose estimations and runtime efficiency are both improved in comparison to the conventional VO algorithms.","PeriodicalId":355536,"journal":{"name":"2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114683532","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":"Personalized one-day travel with multi-nearby-landmark recommendation","authors":"Siya Bao, M. Yanagisawa, N. Togawa","doi":"10.1109/ICCE-Berlin.2017.8210637","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2017.8210637","url":null,"abstract":"Travel route recommendation can strongly influence users' satisfaction and the success of touristic businesses. This paper proposes a personalized travel recommendation algorithm with time planning. We use landmark categorization and region clustering to obtain effective elements. Then we build a travel map to generate all possible travel routes. Our proposed algorithm has higher precision in landmark recommendation and time planning than thoes in previous algorithms.","PeriodicalId":355536,"journal":{"name":"2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123572721","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}
Damir Becirbasic, Marijana Molnar, Ž. Lukač, D. Samardzija
{"title":"Video-processing platform for semi-autonomous driving over 5G networks","authors":"Damir Becirbasic, Marijana Molnar, Ž. Lukač, D. Samardzija","doi":"10.1109/ICCE-Berlin.2017.8210584","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2017.8210584","url":null,"abstract":"Semi-autonomous driving is a huge technological step, but it also introduces a range of new challenges. Real-time control, selection and development of hardware platform, data transfer and development of algorithms are just a small collection of technical challenges to fully take advantages of such a system. The focus of this paper is analysis of some aspects of semi-autonomous driving, the corresponding limitations and the way ultra-reliable low-latency communications (URLLC) 5G networks allow to overcome them.","PeriodicalId":355536,"journal":{"name":"2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125050978","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}
Sandra Ivanovic, Suncica Milivojsa, T. Eric, M. Vidaković
{"title":"Collection and Analysis of System Usage Data in Smart Home Automation Systems","authors":"Sandra Ivanovic, Suncica Milivojsa, T. Eric, M. Vidaković","doi":"10.1109/ICCE-Berlin.2017.8210592","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2017.8210592","url":null,"abstract":"In this paper, we implement a basic solution for collection and retrieval of usage data within the existing home automation system. Data collection modules are implemented, which run on the home automation gateway and within the home automation cloud, and allow us to connect to the already existing big data middleware platform. This represents the initial step in building the extensive data storage and analysis component for the existing home automation solution. The recorded data can be used to enable various scenarios interesting for the end users, such as detection of emergency situations and irregularities within the system.","PeriodicalId":355536,"journal":{"name":"2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114149600","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}
Bong-Seok Seo, Dongho You, Namtae Kim, Eunyoung Jeong, Dong Ho Kim
{"title":"Suggestion of a new architecture for 360 video streaming","authors":"Bong-Seok Seo, Dongho You, Namtae Kim, Eunyoung Jeong, Dong Ho Kim","doi":"10.1109/ICCE-Berlin.2017.8210579","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2017.8210579","url":null,"abstract":"Recently, interest in contents utilizing 360 and Virtual Reality images is increasing. These images are generally transformed into Equirectangular projection and transmitted in a 2:1 ratio rectangular shape. However, this method causes distortion of the upper and lower parts of the 360 images which is widely spread. Furthermore, since the spread 360 images requires higher data rate, it is difficult to transmit high quality (e.g. 4K) 360 images on a band-limited channel. Therefore, in this paper, we propose a method for efficient image stitching, in which receivers can stitch the 360 images themselves by receiving both multiple original images constructing the 360 images and its corresponding stitching information.","PeriodicalId":355536,"journal":{"name":"2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129508954","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}
L. Ciabattoni, E. Frontoni, Daniele Liciotti, M. Paolanti, L. Romeo
{"title":"A sensor fusion approach for measuring emotional customer experience in an intelligent retail environment","authors":"L. Ciabattoni, E. Frontoni, Daniele Liciotti, M. Paolanti, L. Romeo","doi":"10.1109/ICCE-Berlin.2017.8210593","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin.2017.8210593","url":null,"abstract":"Customer experience depends not only on the aspects which retailers can easily control, but also on emotional factors that are unpredictable. In this paper, a Multi-Task MultiKernel learning approach is proposed to recognise positive users' emotion in a retail scenario. The overall system is composed by the Ultra-Wide Band (UWB) tracking system and a consumer smartwatch device. Data gathered from sensors are combined in a multi-kernel scenario to estimate shoppers emotion (i.e., valence and arousal) which is strictly correlated to different shoppers feelings. Results in term of accuracy and macro-F1 score prove the effectiveness and the suitability of the proposed approach.","PeriodicalId":355536,"journal":{"name":"2017 IEEE 7th International Conference on Consumer Electronics - Berlin (ICCE-Berlin)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128744540","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}