[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Takeda et al., 2018 - Google Patents

State estimation using the CoG candidates for sit-to-stand support system user

Takeda et al., 2018

View PDF
Document ID
11785635683371680093
Author
Takeda M
Hirata Y
Katayama T
Mizuta Y
Koujina A
Publication year
Publication venue
IEEE Robotics and Automation Letters

External Links

Snippet

Various support systems have been developed to support elderly people, and the demand for indoor support system has increased. It is important to support not only walking but also to support sit-to-stand and stand-to-sit motions. We develop a support system for indoor use …
Continue reading at tohoku.repo.nii.ac.jp (PDF) (other versions)

Classifications

    • A—HUMAN NECESSITIES
    • A63—SPORTS; GAMES; AMUSEMENTS
    • A63B—APPARATUS FOR PHYSICAL TRAINING, GYMNASTICS, SWIMMING, CLIMBING, OR FENCING; BALL GAMES; TRAINING EQUIPMENT
    • A63B24/00—Electric or electronic controls for exercising apparatus of preceding groups; Controlling or monitoring of exercises, sportive games, training or athletic performances
    • A63B24/0003—Analysing the course of a movement or motion sequences during an exercise or trainings sequence, e.g. swing for golf or tennis
    • A63B24/0006—Computerised comparison for qualitative assessment of motion sequences or the course of a movement

Similar Documents

Publication Publication Date Title
Takeda et al. State estimation using the CoG candidates for sit-to-stand support system user
Huo et al. Fast gait mode detection and assistive torque control of an exoskeletal robotic orthosis for walking assistance
Lee et al. Walking intent-based movement control for JAIST active robotic walker
Galna et al. Accuracy of the Microsoft Kinect sensor for measuring movement in people with Parkinson's disease
Yang et al. Reliability and validity of Kinect RGB-D sensor for assessing standing balance
Di et al. Fall detection and prevention control using walking-aid cane robot
Bonnet et al. Monitoring of hip and knee joint angles using a single inertial measurement unit during lower limb rehabilitation
Ghazaleh et al. Prediction of body center of mass acceleration from trunk and lower limb joints accelerations during quiet standing
Bonnet et al. Fast determination of the planar body segment inertial parameters using affordable sensors
Li et al. Reconstructing walking dynamics from two shank-mounted inertial measurement units
Gauthier et al. Human movement quantification using Kinect for in-home physical exercise monitoring
Takeda et al. Standing, walking, and sitting support robot based on user state estimation using a small number of sensors
Akiyama et al. Effects of exoskeletal gait assistance on the recovery motion following tripping
Iwasaki et al. Gait stability index built by kinematic information consistent with the margin of stability along the mediolateral direction
Takeda et al. Human cog estimation for assistive robots using a small number of sensors
Huang et al. Automatic evaluation of trainee nurses' patient transfer skills using multiple kinect sensors
Jiang et al. Motor Ability Evaluation of the Upper Extremity with Point‐To‐Point Training Movement Based on End‐Effector Robot‐Assisted Training System
Hirata et al. Motion control of intelligent walker based on renew of estimation parameters for user state
CN113288736B (en) Walking intention recognition method for walking training robot
Du et al. Locomotion mode recognition with inertial signals for hip joint exoskeleton
Yan et al. Laser and force sensors based human motion intent estimation algorithm for walking-aid robot
Shiraishi et al. Development of sit-to-stand and stand-to-sit training system for hemiplegie patients
Kumar et al. Model-based and experimental analysis of the symmetry in human walking in different device carrying modes
Salah et al. Sit to stand sensing using wearable IMUs based on adaptive Neuro Fuzzy and Kalman Filter
Miyake et al. Gait event detection based on inter-joint coordination using only angular information