TY - GEN
T1 - An Intelligent Rollator for the Elderly
AU - Chen, Peng Wen
AU - Li, Yong Ru
AU - Chen, Hsiang Chieh
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This work presents an intelligent rollator that can assist the elderly with limited mobility. Our proposed rollator is equipped with a tablet computer, GPU-Accelerated SoC system, LiDAR, and two hub motors. The elderly can interact with the rollator through the tablet, such as setting the traveling destination and communicating with friends. The rollator captures the frontal video streaming, segments every captured image, finds obstacles, obtains a walkable path, and thus guides the elderly to their destination. Considering that the user's walking speed is relatively slow, LiDAR also plays a vital role in estimating the user's walking speed by analyzing the user's stepping information. The functions we achieved in our rollator included guiding the elderly to the place they want to go, recording their walking status, and providing historical walking information to their caregiver. Experimental results verified the effectiveness of our proposed rollator that safely guided the elderly, particularly in the outdoor environment.
AB - This work presents an intelligent rollator that can assist the elderly with limited mobility. Our proposed rollator is equipped with a tablet computer, GPU-Accelerated SoC system, LiDAR, and two hub motors. The elderly can interact with the rollator through the tablet, such as setting the traveling destination and communicating with friends. The rollator captures the frontal video streaming, segments every captured image, finds obstacles, obtains a walkable path, and thus guides the elderly to their destination. Considering that the user's walking speed is relatively slow, LiDAR also plays a vital role in estimating the user's walking speed by analyzing the user's stepping information. The functions we achieved in our rollator included guiding the elderly to the place they want to go, recording their walking status, and providing historical walking information to their caregiver. Experimental results verified the effectiveness of our proposed rollator that safely guided the elderly, particularly in the outdoor environment.
KW - assistive technology
KW - deep learning
KW - fuzzy control
KW - rollator
KW - semantic segmentation
UR - http://www.scopus.com/inward/record.url?scp=85186976027&partnerID=8YFLogxK
U2 - 10.1109/ICCE59016.2024.10444186
DO - 10.1109/ICCE59016.2024.10444186
M3 - 會議論文篇章
AN - SCOPUS:85186976027
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
BT - 2024 IEEE International Conference on Consumer Electronics, ICCE 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Conference on Consumer Electronics, ICCE 2024
Y2 - 6 January 2024 through 8 January 2024
ER -