TY - GEN
T1 - BigFoot
T2 - 16th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2019
AU - Cheung, Kevin Yiu Wah
AU - Reth, Darasy
AU - Song, Chen
AU - Li, Zhinan
AU - Li, Qin
AU - Xu, Wenyao
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - The ill-fitting shoes can cause many health implications, ranging from feet ache to feet sore, from back injury to back pain and so on. Due to the manufacturing variance and design consideration, shoes from different brands will vary in size and shape. Good-fit insoles and shoes are necessary to prevent users from ill-fitting problems. Hence, we propose a novel technique that can be used to calculate parameters of the foot from smartphone RGB camera inputs. Typically, we focus on estimating six main parameters of the foot, including foot length, foot width, foot back height, toe height, heel circumference and foot circumference. These six parameters will significantly help users to find the right shoes or order a tailor-made insoles that fits their foot condition so that they can sustain their foot health and avoid further damage. Therefore, we applied different mathematical formulas accordingly and designed algorithms to estimate foot parameters.
AB - The ill-fitting shoes can cause many health implications, ranging from feet ache to feet sore, from back injury to back pain and so on. Due to the manufacturing variance and design consideration, shoes from different brands will vary in size and shape. Good-fit insoles and shoes are necessary to prevent users from ill-fitting problems. Hence, we propose a novel technique that can be used to calculate parameters of the foot from smartphone RGB camera inputs. Typically, we focus on estimating six main parameters of the foot, including foot length, foot width, foot back height, toe height, heel circumference and foot circumference. These six parameters will significantly help users to find the right shoes or order a tailor-made insoles that fits their foot condition so that they can sustain their foot health and avoid further damage. Therefore, we applied different mathematical formulas accordingly and designed algorithms to estimate foot parameters.
UR - https://www.scopus.com/pages/publications/85073894501
U2 - 10.1109/BSN.2019.8771077
DO - 10.1109/BSN.2019.8771077
M3 - Conference contribution
AN - SCOPUS:85073894501
T3 - 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2019 - Proceedings
BT - 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 19 May 2019 through 22 May 2019
ER -