Abstract:
Motion Capture (MoCap) refers to the process of tracking, processing, recording, and translating real-world motions into a 3D model. MoCap provides vital realism to animal and human motion not only in entertainment industry but also in other sectors. It is also frequently used in Medical Motion Therapy, robotics, Augmented Reality (AR), and Virtual Reality (VR). Additionally, MoCap techniques and systems based on Inertial Measurement Units (IMUs), enables the development of compact sensors that can be worn on the body and send movement single to a host computer. IMU can estimate the orientation of a rigid body. To compute orientation, IMU technology employs data from three sensors, namely a magnetometer, an accelerometer, and a gyroscope. The movement of any object can be monitored using multiple IMU devices. The current study describes the design and execution of a real-time motion capture system to record the human arm’s movement and a six-degree-of-freedom tracking system using COTS and reduced noise. For this purpose, this study assembles the hardware components and the software-side analysis of the obtained motion data and its implementation on a 3D model. The proposed design was adjustable and long-lasting. The results of six DoFs in terms of overall noise filtration percentages of the system were improvised using Noise based on RMS, which were 10.924% and 40.787% for the gyroscope and accelerometer, respectively. Real-time motion capturing technique using a prototype revealed that it is acceptable to collect the values of motion parameters and track the motion of objects that can be mated with digital characters on the virtual screen using AR or VR. Several high-resolution cameras and specially designed attire make MoCap prohibitively expensive. The main aim of this study is to introduce a cost-effective and less noisy prototype or way to capture movement or postures more accessible to a broader variety of people.
Page(s):
72-108
DOI:
DOI not available
Published:
Journal: Innovative Computing Review (ICR), Volume: 3, Issue: 1, Year: 2023
Keywords:
Internet Of Things Iot
,
Complementary Filter
,
Unity 3D
,
Inertial Measurement Unit IMU
,
Degree of Freedom DoFs
,
host computer
,
Inverse Kinematics IK