Back to Results
First PageMeta Content
K-nearest neighbor algorithm / Statistical classification / Activity recognition / Wireless sensor network / Pattern recognition / Speech recognition / Markov chain / Artificial intelligence / Machine learning / Science


Energy-Efficient Activity Recognition using Prediction Dawud Gordon, J¨urgen Czerny, Takashi Miyaki, Michael Beigl Karlsruhe Institute of Technology Karlsruhe, Germany Email: [Firstname.Lastname]@kit.edu
Add to Reading List

Document Date: 2013-03-15 08:05:02

Open Document

File Size: 459,16 KB

Share Result on Facebook

City

New York / Washington / DC / Pittsburgh / /

Company

IEEE Press / Multi-Sensor Context Recognition Systems / /

Country

United States / /

Facility

Michael Beigl Karlsruhe Institute of Technology Karlsruhe / /

IndustryTerm

magnitude more energy / wearable sensing systems / sound-based context recognition systems / non-zero energy savings / energy savings increase / mobile pervasive technology / activity recognition using machine learning algorithms / technological devices / pervasive technology / real time / intelligent wearable applications / lowest energy consumption / pervasive and mobile computing / wireless sensor networks / energy reward / signal processing / energy savings fall / energy savings / energy / energy/recognition / energy consumption rates / energy resources / classifier algorithms / energy consumption / Energy storage / energy cost / context-aware wearable computing / machine learning algorithm / opportunistic energy savings / printing edition / classification algorithms / large energy savings / prediction algorithms / kNN algorithm / sensor systems / Online Offline / kNN classification algorithm / recognition/energy / prediction algorithm / energy model / means energy savings / prediction-based activity recognition algorithm / /

Organization

U.S. Securities and Exchange Commission / Austrian Computer Society / Michael Beigl Karlsruhe Institute of Technology Karlsruhe / US Federal Reserve / IEEE Computer Society / /

Person

D. Kilian / Dawud Gordon / Takashi Miyaki / K. Van Laerhoven / Michael Beigl / B. Schiele / Proc / /

Position

designer / /

ProgrammingLanguage

Python / K / DC / /

ProvinceOrState

New York / /

Technology

speech recognition / activity recognition using machine learning algorithms / predicting algorithm / machine learning algorithm / smart phones / prediction algorithm / mobile phones / machine learning / kNN classification algorithm / mobile device / prediction algorithms / mobile devices / prediction-based activity recognition algorithm / mobile pervasive technology / artificial intelligence / HMM algorithm / mobile computing / classifying algorithm / classification algorithms / ec 1 3 c2 Experimental Process The algorithm / Simulation / Pervasive Computing Technologies / kNN algorithm / classifier algorithms / /

SocialTag