Estimation of walking trajectory using ankle-mounted sensor is discussed. The three-dimensional walking distance is delivered by the integration of the three-dimensional acceleration of ankle during swing phase. Since the sensor system is attached on the ankle, the acceleration data measured on the ankle include acceleration of gravity that causes inaccurate calculation of the velocity and the distance. Three gyros are used to compensate the rotation of the sensor system. Healthy volunteers performed level walk, ascending and descending to verify the proposed method. And the experimental results showed that the estimation error of the distance in level walk was −6.9 [%] on average and the estimation errors of the height in ascending and descending were 4.5 [%] and -22.0 [%] on average.

No abstract

SUMMARYProtein chips are useful tools for profiling proteins and analyzing protein-protein interactions and post-translational modifications. In previous work, we developed a diamond-like carbon-coated stainless steel plate (DLC plate) as a novel protein chip plate. Gel-resolved proteins can be covalently immobilized on the surface of the DLC plate by electroblotting to produce a high-density protein chip. The proteins can then be identified by matrixassisted laser desorption ionization/time-of-flight mass spectrometry (MALDI-TOF MS) using the plates. The interactions of the immobilized proteins with other proteins, and their post-translational modifications, can also be analyzed. However, to improve the efficiency and reproducibility of analyses using DLC plates, it is important to automate these analytical processes. Therefore, we developed a system for automatically transferring gels from the gel electrophoresis glass plates to the DLC plates for electroblotting. This is an essential first step toward complete automation of the production of high-density protein chips for immobilizing gel-resolved proteins.