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
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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>

Comments

I have a couple of questions regarding the dataset description that I hope you can help clarify:

  1. Sensor Location Identification: In the dataset, there isn't a specific category indicating which sensor location each reading corresponds to (wrist, between wrist and elbow, between elbow and shoulder). Could you please provide guidance on how I can identify the sensor location for each set of readings?

  2. Data Collection Process: You mentioned that the data was collected continuously. Could you confirm if the data is from one person or multiple persons? If it's from multiple persons, I'm curious about the process used to add one row per person to the dataset. Understanding this process would greatly assist me in properly analyzing and interpreting the data.

Submitted by Dasun Wijayawardana on Fri, 04/26/2024 - 00:00