scispace - formally typeset
K

Krystyna Gielo-Perczak

Researcher at University of Connecticut

Publications -  40
Citations -  2106

Krystyna Gielo-Perczak is an academic researcher from University of Connecticut. The author has contributed to research in topics: Poison control & Affordance. The author has an hindex of 10, co-authored 39 publications receiving 1974 citations. Previous affiliations of Krystyna Gielo-Perczak include University of Waterloo & Warsaw University of Technology.

Papers
More filters
Journal ArticleDOI

Stiffness Control of Balance in Quiet Standing

TL;DR: A relatively simple control scheme for regulation of upright posture that provides almost instantaneous corrective response and reduces the operating demands on the CNS is proposed.
Journal ArticleDOI

Biomechanics of slips

TL;DR: The focus of this paper is to review what is known regarding the kinematics and kinetics of walking on surfaces under a variety of environmental conditions and to discuss future biomechanical research needs to help to improve walkway-friction measurements and safety.
Journal ArticleDOI

Human-centred approaches in slipperiness measurement.

TL;DR: Current friction-based criteria and thresholds for walking without slipping are reviewed for a number of work tasks, including activities such as walking on a level or an inclined surface, running, stopping and jumping, as well as stair ascent and descent, manual exertion and particular concerns of the elderly and mobility disabled persons.
Journal ArticleDOI

Physical neuroergonomics: The human brain in control of physical work activities

TL;DR: In this paper, a review of recent advances in functional electroencephalography (EEG), with special accent on the time domain analyses of the human brain activity in selected motor tasks, is also presented.
Journal ArticleDOI

Ecological models of human performance based on affordance, emotion and intuition.

TL;DR: This paper proposes a complementary approach to Rasmussen's taxonomy of the human skill-, rule-, and knowledge-based performance models by combining the ecological concept of affordances with the neural concepts of human emotion and intuition.