Human movement data can contribute to the quality improvement of industrial and medical products affected by human movement. One of them is an artificial joint that surgically implanted in the human body to replace a joint affected by disease. It requires high durability to avoid the replacement because the surgery is needed when implant it into the human body. However, in the development and design of artificial joints, there no standards based on the actual human movement data. To develop and design artificial joints that have more accurate durability in the use condition, it is necessary to set up a standard of its durability using the human movement data in daily life. One type of system that used to measure human movement is the motion capture. However, its measurement range is limited due to the use of cameras. This same is true for wired sensors. Recently, a great deal of research that measure and analyze the human movement and behavior using smart device (e.g. smart phone and smart watch) has been conducted. The measurement using smart device has the advantage of being less burden of participants wearing the device and able to measure more natural human movement. Therefore, it is possible to measure human movement in daily life for a long term without the restriction of behavior. In previous studies, we have developed a wearable device that can measure its own acceleration, angular velocity, and quaternions as human movement data continuously for more than 48 hours. The purpose of this study is to provide the data that contributes to the durability improvement of the artificial elbow joint. To clarify the characteristics and trends of elbow joint movement in daily life, we measured the arm movement using the developed device. This study adopted the wrist for the measurement point and collected the data of 30 participants. The participants of this study were had normal life with the measuring device worn on their arm. Additionally, the measurement time was not specified for the participants, and the measurements were conducted for approximately one day including non-wearing time (e.g. after encountering a real-life hindrance, such as after returning home). This study calculated the posture of wrist over time by using quaternions of the measurement data. It is possible to estimate the elbow joint movement by analyzing the posture change of wrist. We clarified the characteristics and trends of the movement bending the elbow in human daily life.


Arm Movement Analysis in Human Daily Life for Improving Durability of Artificial Elbow Joint

Division / Sponsors: 
Aerospace, Bioengineering, Applied Mechanics, Design Engineering Division, Advanced Energy Systems, Manufacturing Engineering Division, Noise Control and Acoustics, Nondestructive Evaluation, Diagnosis, and Prognosis (NDPD), Nuclear Engineering Division, Process Industries Division, Fluids Engineering, Heat Transfer, Materials, Microelectromechanical Systems, Safety Engineering and Risk Analysis, Computers & Information in Engineering


Paper Proceedings: https://asmedigitalcollection.asme.org/IMECE/IMECE2020/volume/84478

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