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Annagurdov Y.,
4th year student Oguz han Engineering and Technology University of Turkmenistan
Saparov M.,
4th year student Oguz han Engineering and Technology University of Turkmenistan
Yusupov R.,
4th year student Oguz han Engineering and Technology University of Turkmenistan
Alymjanova M.,
4th year student Oguz han Engineering and Technology University of Turkmenistan
Jummanov U.
4th year student Oguz han Engineering and Technology University of Turkmenistan
Turkmenistan c. Ashgabat
GYROSCOPE BASED MOTION CONTROLLER FOR GAMING AND SIMULATION
Abstract:
This paper presents a diploma project on developing a cost-effective motion control system using gyroscopes and accelerometers placed on the user's wrists and biceps, paired with an Arduino unit for upper body movement tracking. Additionally, a finger wear sensor captures hand gestures through buttons to provide real-time tactile responses via vibrators. The project addresses challenges faced by commercial motion control solutions that are expensive and complex while offering affordability and versatility in various applications like gaming, virtual simulations, and robotic systems.
Introduction to gyroscope-based motion controller
The system utilizes gyroscopes and accelerometers placed on the user's wrists and biceps, paired with a central Arduino unit on the chest to track upper body movements. Additionally, a finger wear sensor with buttons captures hand gestures, specifically the open or closed state of the user's hand. A unique calibration system, using the t-pose as the neutral position, ensures accurate motion tracking. The system is further enhanced by a haptic feedback mechanism, which provides real-time tactile responses through vibrators, allowing users to feel interactions from virtual or simulated environments. Hardware setup
The core hardware components used in the project include gyroscope and accelerometer sensors, an arduino microcontroller, haptic feedback vibrators, and a custom finger wear sensor for gesture control. Gyroscope and accelerometer sensors
The motion controller relies on two primary sensors: gyroscopes and accelerometers. These sensors are mounted on the user's wrists and biceps to accurately track the orientation and movement of the arms. 1. Arduino microcontrollers
The central processing unit of the system is an arduino uno, chosen for its simplicity, flexibility, and wide support within the maker community.
Figure 3 - How hardware components are connected with each other
T-pose calibration system
One of the key challenges in developing a motion controller is ensuring that the system can accurately interpret user movements, regardless of their initial body position. To solve this, i implemented a t-pose calibration system, which uses the t-pose (arms extended outward at a 90-degree angle) as the neutral or "zero" state for motion tracking.
Potential applications
The gyroscope-based motion controller has a wide range of potential applications across multiple industries:
1. Gaming and virtual reality (vr)
Immersive gaming experience:
In gaming, motion controllers have the potential to revolutionize how players interact with their virtual environments.
2. Robotics and industrial automation
Remote control of robotic systems:
One of the most significant applications of the gyroscope-based motion controller is in the control of robotic systems. By converting human arm and hand movements into precise control signals, the system can be used to remotely control robotic arms or other robotic systems in real time.
3. Virtual training and simulations
Professional training for high-precision tasks:
In industries that require high-precision tasks, such as aviation, medicine, or engineering, virtual training programs can be enhanced using the motion controller. Trainees could practice complex maneuvers, such as piloting an aircraft or performing surgical procedures, using real-time motion tracking and control.
Conclusion
The gyroscope-based motion controller represents a significant advancement in motion capture technology, offering a versatile and cost-effective solution for a wide array of applications. By leveraging gyroscopes, accelerometers, and an intuitive calibration system, the controller captures human arm and hand movements with precision and translates them into digital commands.
References
1. Anderson, R. T., & Bailey, Y. (2001). Tracking in augmented reality: Progress and challenges. IEEE Computer Graphics and Applications, 21(6), 34-47. https://doi.org/10.1109/38.963459
2. Edwards, M. S., & Thompson, T. (2010). Human-intent detection and physically interactive control of a robot without force sensors. IEEE Transactions on Robotics, 26(2), 370-382. https://doi.org/10.1109/ TRO.2010.2041262
© Annagurdov Y., Saparov M., Yusupov R., Alymjanova M., 2024
UDC 004
Baimatova Sh., student Oguzhan Engineering and Technology University of Turkmenistan
c. Ashgabat, Turkmenistan
ISOLATION TECHNOLOGY OF PROCYANIDIN FROM HOWTHORN (CRATAEGUS PONTICA) MEDICINAL PLANT AND POTENTIAL HEALTH BENEFITS
Abstract
Hawthorn (Crataegus pontica), a traditional medicinal plant, contains a variety of bioactive compounds,