Research Database

13 results for "Pattern Recognition"

Predicting Activity Type from Accelerometer Data in Older Adults

  • Presented on June 17, 2013

Introduction Assessing time spent in different activity types may be important for early detection of mobility limitations in older adults. To date, accelerometer-based activity type prediction using machine learning algorithms have not been validated for this segment of the population. Therefore, the aim of this study was to use Random ...

Recognizing Physical Activity Patterns Individually Using Hidden Markov Models

  • Presented on May 31, 2013

Accelerometers offer valid and objective measures to assess free-living physical activity (PA) (Kodama et al, 2002; Lyden et al, 2012). While these devices provide rich information with frequent readings over a period of time, the large amount of data is difficult to analyze and special techniques to extract features are needed. Summarizing ...

Accelerometer Derived Movement Pattern Differences Across Age

  • Presented on 2011

Introduction Pattern recognition classification algorithms have successfully identified energy cost and activity type from hip-worn accelerometers (ACC) [1,2]. These algorithms evaluate attributes of the acceleration signal during high frequency sampling. ACC output similarities and differences across activity types are well characterized [3]. An often overlooked area of potential difference lies in movement ...