Applications of Motion Capture in Amusement Ride and Devices Assessments: Exploring Its Role in Evaluating Rider Interaction,Comfort,and Safety

Abstract

The design and assessment of amusement rides and devices require consideration of human interaction, movement, and performance throughout the process. Traditional assessment methods for evaluating amusement rides (i.e., roller coasters) involve a single sensor measuring accelerations, aiming to evaluate the instantaneous and sustained accelerations (g) of the rider as indicators of patron safety. In this case study, the authors demonstrate the potential of using IMU-based motion capture techniques to collect not only acceleration data but also joint and body segment positions, as well as global positions. These measurements, combined with other 3D modeling techniques, provide comprehensive information that can be used to assess amusement rides and devices at every stage of the ride.

Keywords

motion capture amusement rides amusement parks rollercoasters 3D modeling human factors forensics human motion human modeling movement science

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References

Arndt

S. R.

Cargill

R. S.

Hammoud

P. S.

(2004). Head accelerations experienced during everyday activities and while riding roller coasters. In Proceedings of the HFES Annual Meeting (Vol. 48, No. 16, pp. 1973–1977). Human Factors and Ergonomics Society.

ASTM International. (2016). Standard practice for measuring the dynamic characteristics of amusement rides and devices (Standard No. F2137-16).

ASTM International. (2024a). Standard practice for design of amusement rides and devices (Standard No. F2291-24).

ASTM International. (2024b). Standard terminology relating to amusement rides and devices (Standard No. F747-24).

Figueroa Jacinto

Cargill

R. S.

Woodcock

. (2023). Human factors, ergonomics, and biomechanical engineering approaches to incidents involving amusement rides. In Proceedings of the HFES annual meeting (Vol. 67, No. 1, pp. 1781–1785). Human Factors and Ergonomics Society.

Figueroa Jacinto

Zendler

J. M.

Tanwar

V. J.

Baratta

R. V

. (2023). Applying biomechanical approaches & technology to accident investigations & 3D visualizations. ASB Annual Meeting. American Society of Biomechanics.

Miezal

Taetz

Bleser

(2016). On inertial body tracking in the presence of model calibration errors. Sensors, 16(7), 1132. https://doi.org/10.3390/s16071132

Pendrill

A. M.

Eager

(2020). Velocity, acceleration, jerk, snap and vibration: forces in our bodies during a roller coaster ride. Physics Education, 55. https://doi.org/10.1088/1361-6552/aba732

Schepers

Giuberti

Bellusci

(2018). Xsens MVN: Consistent tracking of human motion using inertial sensing. Movella.com.