Erik E Stone

Summary

Affiliation: University of Missouri-Columbia
Country: USA

Publications

  1. doi request reprint Average in-home gait speed: investigation of a new metric for mobility and fall risk assessment of elders
    Erik Stone
    Department of Electrical and Computer Engineering, University of Missouri Columbia, 349 Engineering Building West, Columbia, MO 65211, United States Electronic address
    Gait Posture 41:57-62. 2015
  2. doi request reprint Capturing habitual, in-home gait parameter trends using an inexpensive depth camera
    Erik E Stone
    Center for Eldercare and Rehabilitation, Technology, Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO 65211, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:5106-9. 2012
  3. doi request reprint Passive in-home measurement of stride-to-stride gait variability comparing vision and Kinect sensing
    Erik E Stone
    Electrical and Computer Engineering Department at the University of Missouri, Columbia, MO 65211, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:6491-4. 2011
  4. doi request reprint Extracting footfalls from voxel data
    Erik E Stone
    Electrical and Computer Engineering Department at the University of Missouri, Columbia, MO 65211, USA
    Conf Proc IEEE Eng Med Biol Soc 2010:1119-22. 2010
  5. pmc In-home fall risk assessment and detection sensor system
    Marilyn J Rantz
    Sinclair School of Nursing, Family and Community Medicine, University of Missouri, Columbia, MO, USA
    J Gerontol Nurs 39:18-22. 2013

Collaborators

  • Marjorie Skubic
  • Marilyn J Rantz
  • Dominic K C Ho
  • Colleen Galambos
  • Carmen Abbott
  • Liyang Rui
  • Jessica Back
  • Steven J Miller
  • Youngju Pak

Detail Information

Publications5

  1. doi request reprint Average in-home gait speed: investigation of a new metric for mobility and fall risk assessment of elders
    Erik Stone
    Department of Electrical and Computer Engineering, University of Missouri Columbia, 349 Engineering Building West, Columbia, MO 65211, United States Electronic address
    Gait Posture 41:57-62. 2015
    ..Continuous, in-home data may provide a more accurate and precise picture of the physical function of older adults, leading to improved mobility and fall risk assessment...
  2. doi request reprint Capturing habitual, in-home gait parameter trends using an inexpensive depth camera
    Erik E Stone
    Center for Eldercare and Rehabilitation, Technology, Department of Electrical and Computer Engineering, University of Missouri, Columbia, MO 65211, USA
    Conf Proc IEEE Eng Med Biol Soc 2012:5106-9. 2012
    ....
  3. doi request reprint Passive in-home measurement of stride-to-stride gait variability comparing vision and Kinect sensing
    Erik E Stone
    Electrical and Computer Engineering Department at the University of Missouri, Columbia, MO 65211, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:6491-4. 2011
    ..Measures of stride-to-stride gait variability were computed using each of the systems and compared against those obtained from the Vicon...
  4. doi request reprint Extracting footfalls from voxel data
    Erik E Stone
    Electrical and Computer Engineering Department at the University of Missouri, Columbia, MO 65211, USA
    Conf Proc IEEE Eng Med Biol Soc 2010:1119-22. 2010
    ..Results show good agreement between the footfalls extracted by our system and those from the GAITRite...
  5. pmc In-home fall risk assessment and detection sensor system
    Marilyn J Rantz
    Sinclair School of Nursing, Family and Community Medicine, University of Missouri, Columbia, MO, USA
    J Gerontol Nurs 39:18-22. 2013
    ..Initial results comparing ground truth (validated measures) of FRA data and GAITRite System parameters with data captured from Microsoft(®) Kinect and pulse-Doppler radar are reported...