Automated dynamic activity monitoringR. Wassink and C. BatenRoessingh Research & Dev., Enschede, the NetherlandsIn some applications of ambulatory assessment of 3D human motion typically detailed kinematic and kinetic biomechanical data is gathered or derived over longer periods (hours), e.g. in ergonomic applications. For sensible interpretation of this data continuous context information is required, e.g. activity performed. Currently this data typically is gathered by labor intensive manual observation, while all other data gathering is fully automated. To get rid of the labor intensive manual observations a new method is proposed for automated activity monitor for human activities using the data already automatically gathered in the kinematic assessment. Also in clinical motion analysis applications of ambulatory recording
technologies (portable gait lab) a need has risen for automated context
classification. Typically data is gathered of many motion cycles (e.g.
steps in Gait in analysis) and to facilitate wide spread use by health
care professionals automated cycle based interpretation assistance is
required. For e.g. gait analysis this means estimation of kinematic and
kinetic step cycle parameters and typical derived statistics. A requirement
for this is automated step cycle detection and step cycle classification.
Both application areas of ambulatory motion analysis require automated
activity recognition and classi.cation including estimation of start and
end times. Paper presented at Measuring Behavior 2005 , 5th International Conference on Methods and Techniques in Behavioral Research, 30 August - 2 September 2005, Wageningen, The Netherlands. © 2005 Noldus Information Technology bv |