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Kamran Iqbal

Researcher at University of Arkansas at Little Rock

Publications -  127
Citations -  1753

Kamran Iqbal is an academic researcher from University of Arkansas at Little Rock. The author has contributed to research in topics: Electric power system & Computer science. The author has an hindex of 18, co-authored 106 publications receiving 1462 citations. Previous affiliations of Kamran Iqbal include United States Air Force Academy & Northwestern University.

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Proceedings ArticleDOI

Collision detection: A survey

TL;DR: This paper provides a comprehensive classification of a collision detection literature into the two phases: broad-phase and narrow-phase.
Journal ArticleDOI

Simulated movement termination for balance recovery: can movement strategies be sought to maintain stability in the presence of slipping or forced sliding?

TL;DR: It is found that forced sliding produces effects on stability that are similar to those of slipping, indicated by over 50% overlap in the regions of stability for the two conditions, and forced sliding has distinctive effects on Stability, including a "shift" of the region of stability extended beyond the BOS in the direction of sliding.
Journal ArticleDOI

Role of Feedforward Control of Movement Stability in Reducing Slip-Related Balance Loss and Falls Among Older Adults

TL;DR: With adaptation to repeated slips, older adults were able to exponentially reduce their incidence of falls and backward balance loss, attributable significantly to their improvement in feedforward control of stability.
Journal ArticleDOI

Predicted region of stability for balance recovery: motion at the knee joint can improve termination of forward movement.

TL;DR: A theoretical role of knee motion in standing humans' repertoire of effective posture responses, which include hip and ankle strategies and their variants for balance recovery with stationary BOS, is illustrated.
Journal ArticleDOI

Thresholds for step initiation induced by support-surface translation: a dynamic center-of-mass model provides much better prediction than a static model.

TL;DR: The proposition that the central nervous system must react to and control dynamic effects, i.e. COM velocity, as well as COM displacement, in order to maintain stability with respect to the existing BOS without stepping is supported.