F
Frans C. T. van der Helm
Researcher at Delft University of Technology
Publications - 146
Citations - 8349
Frans C. T. van der Helm is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Haptic technology & Motor control. The author has an hindex of 37, co-authored 138 publications receiving 7527 citations. Previous affiliations of Frans C. T. van der Helm include Northwestern University & University of Twente.
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Journal ArticleDOI
ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion-Part II: shoulder, elbow, wrist and hand
Ge Wu,Frans C. T. van der Helm,H.E.J. Veeger,Mohsen Makhsous,Peter Van Roy,Carolyn Anglin,Jochem Nagels,Andrew R. Karduna,Kevin J. McQuade,Xuguang Wang,Frederick W. Werner,Bryan Buchholz +11 more
TL;DR: A definition of a joint coordinate system (JCS) for the shoulder, elbow, wrist, and hand is proposed and a standard for the local axis system in each articulating segment or bone is generated.
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Three-dimensional recording and description of motions of the shoulder mechanism.
TL;DR: A measurement technique is presented for recording positions of the bones of the shoulder mechanism, i.e., thorax, clavicula, scapula and humerus, in 3-D space, based on palpating and recordings positions of bony landmarks, which is comparable with cinegraphic methods.
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An adaptive model of sensory integration in a dynamic environment applied to human stance control.
TL;DR: The model results suggest that vestibular-related thresholds are the result of the processing of noisy sensory and motor output signals, and suggests that the environment postural orientation can not be estimated optimally, which causes sensory illusions.
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Identification of intrinsic and reflexive components of human arm dynamics during postural control.
TL;DR: It is concluded that this new methodology to quantify reflexive feedback gains from the mechanical behavior of the human arm during posture maintenance can offer interesting insights into the ability of the central nervous system to modulate reflexive Feedback gains.
Journal ArticleDOI
Comparison of different methods to identify and quantify balance control.
Herman van der Kooij,Edwin H.F. van Asseldonk,Frans C. T. van der Helm,Frans C. T. van der Helm +3 more
TL;DR: To identify the rigid body dynamics and the physiological mechanism that controls the body separately, one has to externally perturb the body with known perturbations and to use the indirect (IA) or joint input–output approach (JA) for identification.