Hand Tremor Dataset collected using MPU9250 Sensor

Citation Author(s):
Aarya
Pandya
Submitted by:
Aarya Pandya
Last updated:
Tue, 02/20/2024 - 13:15
DOI:
10.21227/2rmb-pt84
License:
0
0 ratings - Please login to submit your rating.

Abstract 

<p><span style="color: #3c4043; font-family: Inter, sans-serif; font-size: 14px;">The dataset is collected from 3 MPU9250 sensors connected simultaneously on different positions of the hand. One sensor was placed on the wrist, another between wrist and elbow and another between elbow and shoulder. The dataset contains a 3-axis accelerometer, 3-axis gyroscope and 3-axis magnetometer readings along with a result column in which '1' denoted shaking hand and '0' denoted stable hand. The readings were taken by placing the hand on ground for stable hand and in the air with slight shaking for shaking hand. Once the sensors are in place on the hands of the person being monitored, they will continuously collect data on hand movements and orientations. The collected data is then processed using various machine learning algorithms to extract information about hand tremors.</span></p>

Instructions: 

<p class="MsoNormal"><span style="font-family: 'Times New Roman',serif;">The dataset is collected from 3 MPU9250 sensors connected simultaneously on different positions of the hand. One sensor was placed on the wrist, another between wrist and elbow and another between elbow and shoulder. The dataset contains a 3-axis accelerometer, 3-axis gyroscope and 3-axis magnetometer readings along with a result column in which '1' denoted shaking hand and '0' denoted stable hand. The readings were taken by placing the hand on ground for stable hand and in the air with slight shaking for shaking hand. Once the sensors are in place on the hands of the person being monitored, they will continuously collect data on hand movements and orientations. The collected data is then processed using various machine learning algorithms to extract information about hand tremors.</span></p>