Accelerometer, Gyroscope, and Magnetometer Sensors based Data for Recognizing Handwritten Digits

Citation Author(s):
Ashish
Gupta
Indian Institute of Technology (BHU), India
Hari Prabhat
Gupta
Indian Institute of Technology (BHU), India
Tanima
Dutta
Indian Institute of Technology (BHU), India
Rahul
Mishra
Indian Institute of Technology (BHU), India
Ramakant
Kumar
Indian Institute of Technology (BHU), India
Submitted by:
Ashish Gupta
Last updated:
Mon, 04/27/2020 - 14:38
DOI:
10.21227/52d9-8y30
Data Format:
*.csv
License:
Creative Commons Attribution
2265 Views
Categories:
Machine Learning
Sensors
Wearable Sensing
Keywords:
inertial measurement unit, accelerometer, gyroscope, magnetometer, Time series, intelligent pen
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Abstract 

This dataset consists of sensory data of digits, i.e., from 0 to 9. The dataset is collected from 20 volunteers by using a 9−axis Inertial Measurement Unit (IMU) equipped marker pen. The objective of this dataset is to design classification algorithms for recognizing a handwritten digit in real-time.

Comments

good

Submitted by Bhupendra Singh on Tue, 08/03/2021 - 03:13

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