Name
Abstract | ||
|---|---|---|
Automated measurement, analysis, and comparison of human motion during performance of workplace tasks or exercise therapy are core competencies required to realize many telemedicine applications. Ergonomic studies and telemonitoring of patients performing rehabilitation exercises are examples of applications that would benefit from a representation of complex human motion in a form amenable to comparison. We present a representation of joint motion suitable for the analysis of multidimensional angular joint motion time series data. Complex motion is reduced to a concatenation motion segments, where simple dynamic models approximate the observed motion on each segment. This compact representation still enables measurement of statistics familiar to ergonomics practitioners such as cycle length and task duration. An algorithm to obtain this representation from observed motion data (time series) is given. We introduce a metric, based on a kinetic energy-like measure, to compare motions. Experiments are presented to demonstrate the representation, its relationship to previous measures and the applicability of the kinetic energy metric for motion comparison. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/TITB.2003.821309 | IEEE Transactions on Information Technology in Biomedicine |
Keywords | Field | DocType |
biomechanics,dynamic models,workplace tasks,compact representation,motion comparison,complex motion,motion data,statistics,telemedicine,observed motion,endoscopists,biomedical measurement,multidimensional angular joint motion,kinetic energy-like measure,complex human motion,computerised monitoring,exercise therapy,observed motion data,ergonomics,repetitive joint motion,concatenation motion segment,ergonomic studies,multidimensional angular joint motion time series data,telemedicine applications,patients,rehabilitation exercises,automated analysis,joint motion,human motion,telemonitoring,image motion analysis,time series,core competencies,time series data,kinetic energy | Computer vision,Time series,Computer science,Exercise therapy,Human motion,Dynamic models,Artificial intelligence,Concatenation | Journal |
Volume | Issue | ISSN |
7 | 4 | 1089-7771 |
Citations | PageRank | References |
4 | 0.73 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| ChunMei Lu | 1 | 59 | 7.02 |
| Nicola J Ferrier | 2 | 6 | 1.57 |