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Suree Pumrin. Fall detection using motion history image and shape deformation. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2020.
Fall detection using motion history image and shape deformation
Name: Jantima Thummala
Organization :
Chulalongkorn University. Department of Electrical Engineering
Email :
juntimathummala@gmail.com
Name: Suree Pumrin
Organization :
Chulalongkorn University. Department of Electrical Engineering
Email :
suree.p@chula.ac.th
keyword:
Fall detection
ThaSH:
Image processing
Abstract:
Computer vision takes more roles in daily life both at work and home. Especially, in healthcare area, it assists and relieves the burden of caregivers at either nursing homes or home environments. This paper presents a fall event detection applying computer image processing techniques as an assistant tool for a caregiver to look after the elderly. The system works as a video surveillance that detects activities of an elderly one and notifies a caregiver at certain events. Our system classifies activity into two categories: (1) a normal daily activity such as walking, sitting, and running, (2) an abnormal activity such as falling. The fall detection separates into two steps: first, the system applies a Motion History Image (MHI) to quantify human motion for a moment in terms of its percentage. Next, it analyzes human shape deformation after detecting a large motion (MHI >65%). Shape deformation consists of a ratio and speed of change in shape. The experimental results demonstrate that our system can accurately achieve fall detection by 95.16%.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2020
Modified:
2026-01-15
Issued:
2026-01-15
บทความ/Article
application/pdf
BibliograpyCitation :
In Electrical Engineering Academic Association (Thailand). 2020 8th International Electrical Engineering Congress (iEECON 2020) (pp.132-135). Red Hook, NY : Institute of Electrical and Electronics Engineers
eng
©copyrights King Mongkut's University of Technology North Bangkok
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Jantima Thummala
| Title | Contributor | Type |
|---|---|---|
| Fall detection using motion history image and shape deformation
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Jantima Thummala;Suree Pumrin | บทความ/Article |
Suree Pumrin
| Title | Contributor | Type |
|---|---|---|
| Early stress detection in plant phenotyping using CNN and LSTM architecture
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Krit Rojanarungruengporn;Suree Pumrin | บทความ/Article | |
| Feature detection and description based on ORB algorithm for FPGA-based image processing
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Taksaporn Imsaengsuk;Suree Pumrin | บทความ/Article | |
| Applying Faster R-CNN for hematocytes detection on compound microscope with image sensor device and multiple GPU computation
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Natthakorn Kasamsumran;Pattrarat Chanchaithong;Norrarat Wattanamongkhol;Wanchalerm Pora;Suree Pumrin | บทความ/Article | |
| Fall detection using motion history image and shape deformation
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Jantima Thummala;Suree Pumrin | บทความ/Article |