2010
DOI: 10.1016/j.math.2009.05.009
|View full text |Cite
|
Sign up to set email alerts
|

Feasibility of using inertial sensors to assess human movement

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

3
58
0
6

Year Published

2011
2011
2019
2019

Publication Types

Select...
5
5

Relationship

0
10

Authors

Journals

citations
Cited by 109 publications
(67 citation statements)
references
References 24 publications
3
58
0
6
Order By: Relevance
“…The full body inertial motion capture system, provided 3D segmental orientations, positions, velocity, angular velocity and acceleration of all body segments based on sensor data. The Xsens full body inertial motion capture system has been shown to accurately measure human movement [12,13].…”
Section: Measurement Systemmentioning
confidence: 99%
“…The full body inertial motion capture system, provided 3D segmental orientations, positions, velocity, angular velocity and acceleration of all body segments based on sensor data. The Xsens full body inertial motion capture system has been shown to accurately measure human movement [12,13].…”
Section: Measurement Systemmentioning
confidence: 99%
“…7 However, electromagnetic sensors were chosen in our experiment because of their ability to provide data in burdened areas, as well as their small size, which made their embedment not interfere with intraocular surgical procedures. Optical sensors require a line of sight difficult to guarantee during intraocular surgery, given the limited space of maneuver.…”
Section: Discussionmentioning
confidence: 99%
“…Bergmann et al (2009) reported that body-worn, inertial motion sensors are a practical, non-constraining alternative to optical motion analysis. Examples of their use in research studies include analysis of hip joint flexion and extension during human walking gait (Saber-Sheikh et al, 2010); assessment of spasticity assessment in children with Cerebral Palsy (Van den Noort, 2009); and measurement of lumber, hip, knee and ankle joint angles of skiers (Kondo et al, 2012). Cloete and Scheffer (2008) compared inertial motion capture of human gait kinematics against optical motion capture (n=8), demonstrating good reliability for hip and knee joint angle flexion.…”
Section: Introductionmentioning
confidence: 99%