Human Activity Sensing Corpus and Applications /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Kawaguchi, Nobuo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Nishio, Nobuhiko (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Roggen, Daniel (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Inoue, Sozo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Pirttikangas, Susanna (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Van Laerhoven, Kristof (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Springer Series in Adaptive Environments,
• Θέματα: User interfaces (Computer systems).; Data mining.; Application software.; Microprogramming .; User Interfaces and Human Computer Interaction.; Data Mining and Knowledge Discovery.; Information Systems Applications (incl. Internet).; Control Structures and Microprogramming.
• Φυσική περιγραφή: XII, 250 p. 140 illus., 98 illus. in color. online resource.
• ISBN: 9783030130015
• ISSN: 2522-5529
• DOI: 10.1007/978-3-030-13001-5

Activity recognition has emerged as a challenging and high-impact research field, as over the past years smaller and more powerful sensors have been introduced in wide-spread consumer devices. Validation of techniques and algorithms requires large-scale human activity corpuses and improved methods to recognize activities and the contexts in which they occur. This book deals with the challenges of designing valid and reproducible experiments, running large-scale dataset collection campaigns, designing activity and context recognition methods that are robust and adaptive, and evaluating activity recognition systems in the real world with real users.