Le Ngu Nguyen, D. Martín, Andreu Català, C. Pérez-López, A. Samà, A. Cavallaro
{"title":"Basketball Activity Recognition using Wearable Inertial Measurement Units","authors":"Le Ngu Nguyen, D. Martín, Andreu Català, C. Pérez-López, A. Samà, A. Cavallaro","doi":"10.1145/2829875.2829930","DOIUrl":"https://doi.org/10.1145/2829875.2829930","url":null,"abstract":"The analysis and evaluation of human movement is a growing research area within the field of sports monitoring. This analysis can help support the enhancement of an athlete's performance, the prediction of injuries or the optimization of training programs. Although camera-based techniques are often used to evaluate human movements, not all movements of interest can be analyzed or distinguished effectively with computer vision only. Wearable inertial systems are a promising technology to address this limitation. This paper presents a new wearable sensing system to record human movements for sports monitoring. A new paradigm is presented with the purpose of monitoring basketball players with multiple inertial measurement units. A data collection plan has been designed and implemented, and experimental results show the potential of the system in basketball activity recognition.","PeriodicalId":137603,"journal":{"name":"Proceedings of the XVI International Conference on Human Computer Interaction","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124197571","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}
David Contreras, Maria Salamó, I. Rodríguez, A. Puig, Alejandra Yañez
{"title":"Supporting Users Experience in a 3D eCommerce Environment","authors":"David Contreras, Maria Salamó, I. Rodríguez, A. Puig, Alejandra Yañez","doi":"10.1145/2829875.2829914","DOIUrl":"https://doi.org/10.1145/2829875.2829914","url":null,"abstract":"3D eCommerce spaces may often be highly populated spaces, with a huge number of users, areas and selling products. Therefore, their design should address different strategies to guide and assist users to locate and to be aware of the most interesting areas, products or users in there. In this paper, we present an approach to enhance and facilitate user buying experience in a large 3D eCommerce space. Specifically, we propose a collaborative recommendation framework which incorporates three types of interactive objects --the User Registration Object (URO), the Interactive Map Object (IMO), and the Recommendation Object (RO)-- to guide users along the whole buying experience.","PeriodicalId":137603,"journal":{"name":"Proceedings of the XVI International Conference on Human Computer Interaction","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116770475","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}