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.

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 t...