TY - JOUR
T1 - Mechanical design of powered prosthetic leg and walking pattern generation based on motion capture data
AU - Yang, Un Je
AU - Kim, Jung Yup
N1 - Publisher Copyright:
© 2015 Taylor & Francis and The Robotics Society of Japan.
PY - 2015/8/18
Y1 - 2015/8/18
N2 - In this paper, we describe the design procedure of an above-knee powered prosthetic leg and an algorithm to generate appropriate gait patterns that are synchronized with the movement of the user. The developed prosthetic leg has powered knee and ankle joints for transfemoral amputees, and its weight and dimensions were determined on the basis of human body data. In particular, two degrees of freedom (roll and pitch axes) were adopted in the ankle joint to achieve dynamic balance control on uneven ground, and passive toe joints using a crank-rocker mechanism and torsional springs were attached at the foot to increase the walking stability. In addition, we developed a walking pattern simulator that is able to test the walking patterns of the powered prosthetic leg in the air. By attaching two inertial sensors on both thighs of the user and measuring both thigh motions, the per cent of gait cycle is suitably calculated from the proposed algorithm, and smooth gait motions are generated according to the gait cycle percent. Finally, walking patterns of the powered prosthetic leg were successfully generated by synchronizing to the human gait, and the generated gaits were analyzed by comparing them to the human gait.
AB - In this paper, we describe the design procedure of an above-knee powered prosthetic leg and an algorithm to generate appropriate gait patterns that are synchronized with the movement of the user. The developed prosthetic leg has powered knee and ankle joints for transfemoral amputees, and its weight and dimensions were determined on the basis of human body data. In particular, two degrees of freedom (roll and pitch axes) were adopted in the ankle joint to achieve dynamic balance control on uneven ground, and passive toe joints using a crank-rocker mechanism and torsional springs were attached at the foot to increase the walking stability. In addition, we developed a walking pattern simulator that is able to test the walking patterns of the powered prosthetic leg in the air. By attaching two inertial sensors on both thighs of the user and measuring both thigh motions, the per cent of gait cycle is suitably calculated from the proposed algorithm, and smooth gait motions are generated according to the gait cycle percent. Finally, walking patterns of the powered prosthetic leg were successfully generated by synchronizing to the human gait, and the generated gaits were analyzed by comparing them to the human gait.
KW - motion capture
KW - powered prosthetic leg
KW - walking pattern generation
UR - http://www.scopus.com/inward/record.url?scp=84940601656&partnerID=8YFLogxK
U2 - 10.1080/01691864.2015.1026939
DO - 10.1080/01691864.2015.1026939
M3 - Article
AN - SCOPUS:84940601656
SN - 0169-1864
VL - 29
SP - 1061
EP - 1079
JO - Advanced Robotics
JF - Advanced Robotics
IS - 16
ER -