TY - GEN
T1 - Classification of human gait based on fine Gaussian support vector machines using a force platform
AU - Jaiteh, Sedia
AU - Lee, Lini
AU - Tan, Ching Seong
N1 - Publisher Copyright:
© 2022 Author(s).
PY - 2022/8/19
Y1 - 2022/8/19
N2 - A force platform prototype for human gait classification as an alternative to vision-based and wearable sensor-based gait classification technologies is proposed. The primary sensors involved in this prototype were load cells. When a volunteer walks on the force platform, the load cells record signal changes corresponding to the walking pattern of the volunteer. These signals were digitized and amplified and stored in a micro-SD card. Five gait features were extracted from the stored data in the micro-SD card, and MATLAB classification learner was used for classification. An accuracy of 94% was observed with Fine Gaussian Support Vector Machines. This shows that the force platform is a good alternative to vision-based and wearable sensor-based gait classification technologies.
AB - A force platform prototype for human gait classification as an alternative to vision-based and wearable sensor-based gait classification technologies is proposed. The primary sensors involved in this prototype were load cells. When a volunteer walks on the force platform, the load cells record signal changes corresponding to the walking pattern of the volunteer. These signals were digitized and amplified and stored in a micro-SD card. Five gait features were extracted from the stored data in the micro-SD card, and MATLAB classification learner was used for classification. An accuracy of 94% was observed with Fine Gaussian Support Vector Machines. This shows that the force platform is a good alternative to vision-based and wearable sensor-based gait classification technologies.
UR - http://www.scopus.com/inward/record.url?scp=85137679796&partnerID=8YFLogxK
U2 - 10.1063/5.0092635
DO - 10.1063/5.0092635
M3 - Conference contribution
AN - SCOPUS:85137679796
T3 - AIP Conference Proceedings
BT - 5th Innovation and Analytics Conference and Exhibition, IACE 2021
A2 - Ibrahim, Haslinda
A2 - Zulkepli, Jafri
A2 - Aziz, Nazrina
A2 - Decena, Ma. Carlota Blajadia
A2 - Bin Yaakob, Abdul Malek
A2 - Khan, Sahubar
A2 - Benjamin, Josephine Bernadette M.
PB - American Institute of Physics Inc.
T2 - 5th Innovation and Analytics Conference and Exhibition, IACE 2021
Y2 - 23 November 2021 through 24 November 2021
ER -