Erratum to: Human motion recognition using a wireless Sensor-Based wearable system

John Paul Varkey, Dario Pompili, Theodore A. Walls

Research output: Contribution to journalArticlepeer-review

85 Scopus citations


The future of human computer interaction systems lies in how intelligently these systems can take into account the user's context. Research on recognizing the daily activities of people has progressed steadily, but little focus has been devoted to recognizing jointly activities as well as movements in a specific activity. For many applications such as rehabilitation, sports medicine, geriatric care, and health/fitness monitoring the importance of combined recognition of activity and movements can drive health care outcomes. A novel algorithm is proposed that can be tuned to recognize on-the-fly range of activities and fine movements within a specific activity. Performance of the algorithm and a case study on obtaining optimal features from sensor and parameter values for the algorithm to detect fine motor movements are presented.

Original languageEnglish (US)
Pages (from-to)897-910
Number of pages14
JournalPersonal and Ubiquitous Computing
Issue number7
StatePublished - Jan 1 2012

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Science Applications
  • Management Science and Operations Research


  • Accelerometer
  • Activity recognition
  • Body area networks
  • Classification
  • Gyroscope
  • Motion recognition
  • Support vector machines

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