Inertial Measurement Unit using multigain accelerometer sensor and gyroscope sensor

Wahyudi, Wahyudi; Susanto, Adhi; Widada, Wahyu; Hadi, Sasongko Pramono

doi:10.1109/iceei.2011.6021822

Cited by 4 publications

(3 citation statements)

References 5 publications

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“…IMU is used to measure the acceleration and angular rate on 3-axis which is an important part of the navigation control system. There are variety techniques performed to produce IMU, one of them is combining accelerometer and gyrometer sensors [22]. Thus, Myo armband can uses five types of sensors to help identify gestures performed, consist of: EMG, accelerometer, gyroscope, orientation, and orientation-euler.…”

Section: The Formation Of Feature Vectors 411 Myo Armbandmentioning

confidence: 99%

Moment Invariant Features Extraction for Hand Gesture Recognition of Sign Language based on SIBI

Rahagiyanto

Basuki

Sigit

2017

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SIBI in Indonesian known as standard of Indonesian sign language. To help deaf people Myo Armband becomes an immersive technology for communication each other. The problem on Myo sensor is unstable clock rate. It causes different length data for the same period even on the same gesture. This paper proposes Moment Invariant Method to extract the feature of sensor data from Myo. This method reduces the amount of data as the result is same length of data. The implementation of this method is the user-dependent feature according to the characteristics of Myo Armband. We tested for gesture of alphabet A to Z based on SIBI (Indonesian Sign Language) with static and dynamic movements. There are 26 classes of alphabet and 10 variants. We use min-max normalization for guarantying the range of data and K-Nearest Neighbor method to classify dataset. Performance analysis with leave-one-out-validation method produced an accuracy of 82.31%.

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Section: The Formation Of Feature Vectors 411 Myo Armbandmentioning

confidence: 99%

Moment Invariant Features Extraction for Hand Gesture Recognition of Sign Language based on SIBI

Rahagiyanto

Basuki

Sigit

2017

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“…The motion of rocket is according to the Newton's law. Mathematically, the translational and rotational motions can be expressed by the following respective equations [7] : The rocket has six degree of freedom (6-DOF), translational and rotational, along and about the rocket axes. Direction of rocket motion is shown in Fig.…”

Section: The Underlyingmentioning

confidence: 99%

“…Sensor calibration has been subject of intensive research. Various methods have been proposed in the literature, from single sensor calibration in one-axis [6] to multisensor with single sensor in each axis [1][2][3][4]7]. In calibration process, bias of sensor can be removed using dynamic filter [1] or discrimination window [6].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous Calibration for MEMS Gyroscopes of the Rocket IMU

Wahyudi

Susanto

Widada

et al. 2014

AMR

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MEMS (Microelectromechanical System), as an advanced sensor technology, is low power, low cost, and small size. Gyroscope sensor produced with microelectromechanical technology is an angular rate sensor. IMU (Inertial Measurement Unit) sensor for rocket should have a very wide range of measurements. At the beginning of the motion, the rocket accelereation is very high, for which the rocket IMU requires a multisensor with different sensitivity. This paper presents the design of the rocket IMU and its calibration method for all MEMS gyroscopes. Calibration for each sensor is necessary including its varying characteristics. The calibration of the gyroscope sensors use three-axis motion simulator model ST 3176 with resolutions 0.00001 for all axes. Simultaneous calibration was mutually applied which require a short calibration time. The results show that root mean square errors (RMSE) of the calibrated gyroscope for all axes are under 2.5 %. Therefore, that the calibrated gyroscope can be used in the proposed real application.

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