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Sander E. M. Jansen

Researcher at Utrecht University

Publications -  15
Citations -  247

Sander E. M. Jansen is an academic researcher from Utrecht University. The author has contributed to research in topics: Motion capture & Obstacle avoidance. The author has an hindex of 9, co-authored 15 publications receiving 223 citations. Previous affiliations of Sander E. M. Jansen include VU University Amsterdam.

Papers
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Journal ArticleDOI

Effects of anxiety on the execution of police arrest and self-defense skills.

TL;DR: It appears that under increased anxiety, police officers were less able to inhibit stimulus-driven processing and enforce goal-directed processing (perform the skill as well as possible) leading to avoidance behavior and a decrease in performance.
Journal ArticleDOI

Human locomotion through a multiple obstacle environment: strategy changes as a result of visual field limitation.

TL;DR: It is concluded that only for the S condition, balancing problems were substantial enough to spend more energy associated with increased step width, and participants choose to optimize safety (collision avoidance) at the cost of spending more energy.
Journal ArticleDOI

Effects of field-of-view restrictions on speed and accuracy of manoeuvring

TL;DR: Results may be used to evaluate cost and performance trade-offs for field-of-view restricting devices deployed to perform time-limited human-locomotion tasks in complex structured environments, such as night-vision goggles and head-mounted displays.
Book ChapterDOI

Exploiting Motion Capture to Enhance Avoidance Behaviour in Games

TL;DR: This paper exploits motion capture data to gain more insights into human-human interactions and proposes four measures to describe the collision-avoidance behavior, which can be applied on top of existing agent and force based approaches, increasing the realism of the resulting simulations.
Journal ArticleDOI

Identifying Haptic Exploratory Procedures by Analyzing Hand Dynamics and Contact Force

TL;DR: This work aims to investigate several EPs in a quantitative manner to understand how hand dynamics and contact forces differ between them, and builds an EP identification model capable of discriminating between EPs based on the index finger position and contact force.