The book reports on the author’s original work to address the use of today’s state-of-the-art smartphones for human physical activity recognition. By exploiting the sensing, computing and communication capabilities currently available in these devices, the author developed a novel smartphone-based activity-recognition system, which takes into consideration all aspects of online human activity recognition, from experimental data collection, to machine learning algorithms and hardware implementation. The book also discusses and describes solutions to some of the challenges that arose during the development of this approach, such as real-time operation, high accuracy, low battery consumption and unobtrusiveness. It clearly shows that it is possible to perform real-time recognition of activities with high accuracy using current smartphone technologies. As well as a detailed description of the methods, this book also provides readers with a comprehensive review of the fundamental concepts in human activity recognition. It also gives an accurate analysis of the most influential works in the field and discusses them in detail. This thesis was supervised by both the Universitat Politècnica de Catalunya (primary institution) and University of Genoa (secondary institution) as part of the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments.
The two-volume set LNCS 3522 and 3523 constitutes the refereed proceedings of the Second Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2005, held in Estoril, Portugal in June 2005. The 170 revised full papers presented were carefully reviewed and selected from 292 submissions. The papers are organized in topical sections on computer vision, shape and matching, image and video processing, image and video coding, face recognition, human activity analysis, surveillance, robotics, hardware architectures, statistical pattern recognition, syntactical pattern recognition, image analysis, document analysis, bioinformatics, medical imaging, biometrics, speech recognition, natural language analysis, and applications.
Mexico and the Law of the Sea: Contributions and Compromises examines Mexico’s legal work at the Third UN Conference on the Law of the Sea; its involvement at the regional Latin American meetings of Montevideo, Lima and Santo Domingo; and its current domestic legislation, in particular the Federal Oceans Act of 1986.
Puerto Ricans maintain a vibrant identity that bridges two very different places--the island of Puerto Rico and the U.S. mainland. Whether they live on the island, in the States, or divide time between the two, most imagine Puerto Rico as a separate nation and view themselves primarily as Puerto Rican. At the same time, Puerto Ricans have been U.S. citizens since 1917, and Puerto Rico has been a U.S. commonwealth since 1952. Jorge Duany uses previously untapped primary sources to bring new insights to questions of Puerto Rican identity, nationalism, and migration. Drawing a distinction between political and cultural nationalism, Duany argues that the Puerto Rican "nation" must be understood as a new kind of translocal entity with deep cultural continuities. He documents a strong sharing of culture between island and mainland, with diasporic communities tightly linked to island life by a steady circular migration. Duany explores the Puerto Rican sense of nationhood by looking at cultural representations produced by Puerto Ricans and considering how others--American anthropologists, photographers, and museum curators, for example--have represented the nation. His sources of information include ethnographic fieldwork, archival research, interviews, surveys, censuses, newspaper articles, personal documents, and literary texts.
The book reports on the author’s original work to address the use of today’s state-of-the-art smartphones for human physical activity recognition. By exploiting the sensing, computing and communication capabilities currently available in these devices, the author developed a novel smartphone-based activity-recognition system, which takes into consideration all aspects of online human activity recognition, from experimental data collection, to machine learning algorithms and hardware implementation. The book also discusses and describes solutions to some of the challenges that arose during the development of this approach, such as real-time operation, high accuracy, low battery consumption and unobtrusiveness. It clearly shows that it is possible to perform real-time recognition of activities with high accuracy using current smartphone technologies. As well as a detailed description of the methods, this book also provides readers with a comprehensive review of the fundamental concepts in human activity recognition. It also gives an accurate analysis of the most influential works in the field and discusses them in detail. This thesis was supervised by both the Universitat Politècnica de Catalunya (primary institution) and University of Genoa (secondary institution) as part of the Erasmus Mundus Joint Doctorate in Interactive and Cognitive Environments.
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