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Jakkree Srinonchat. Object recognition using glove tactile sensor. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2022.
Object recognition using glove tactile sensor
Name: Somchai Pohtongkam
Organization :
Rajamangala University of Technology Thanyaburi. Department of Electronics and Telecommunication
Email :
somchai_po@mail.rmutt.ac.th
Name: Jakkree Srinonchat
Organization :
Rajamangala University of Technology Thanyaburi. Department of Electronics and Telecommunication
Email :
jakkree_s@rmutt.ac.th
keyword:
Object recognition (Computer vision)
LCSH:
Tactile sensors
LCSH:
Touch
Abstract:
This article presents the artificial intelligence for
object recognition by touching method with the tactile sensor,
which has similar structural characteristics as the human hand.
The object recognition uses a tactile glove sensor with small
tactile sensors to spread throughout the glove, and there are
touching points similar to human hands. Using the glove sensor
to grasp the object that will obtain an image, there is tactile
image. These images were used to compare recognition
performance with two techniques: the Bag of Word (BoW) and
the Convolutional Neural Network (CNN) . In the experiment,
the tactile glove performs 20 different objects. The BoW
technique, the Scale Invariant Feature Transform (SIFT), has
been used to feature extraction and then classified with K
Nearest Neighbors (KNN) to evaluate the performance. The
results illustrate that the accuracy of BoW and CNN is 70.80%
and 97.20%, respectively. When comparing both techniques, it
was found that the CNN had higher accuracy of about 26.40%.
The results clearly show that CNN was more performance than
BoW. Therefore, it is suitable to analyze tactile glove
recognition, which can be applied to the recognition system of
humanoid robots.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2022
Modified:
2025-08-27
Issued:
2025-08-27
บทความ/Article
application/pdf
BibliograpyCitation :
In Electrical Engineering Academic Association (Thailand) and Rajamangala University of Technology Isan Khon Kaen Campus. Faculty of Engineering. The 2022 International Electrical Engineering Congress (iEECON 2022) (P02003). Khon Kaen : Rajamangala University of Technology Isan, 2022
eng
©copyrights King Mongkut's University of Technology North Bangkok
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Somchai Pohtongkam
| Title | Contributor | Type |
|---|---|---|
| Object recognition using glove tactile sensor
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Somchai Pohtongkam;Jakkree Srinonchat | บทความ/Article |
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| Object recognition using glove tactile sensor
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Somchai Pohtongkam;Jakkree Srinonchat | บทความ/Article |