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Current existing sensors have inherent limitations such as mobility, wearability, and rigidity for measuring walking information. In order to investigate advantages and disadvantages of each sensor and measure bio-signals during walking on a flat terrain and ascending stairs, we developed a wearable lower limb biomechanics measurement system integrated with force sensors, encoders, and myoelectric...
We present an upper-limb assistive device for the elderly at home. In previous researches, the passive systems were manually adjusted to support arm movement with holding different weights of objects, and the active systems equipped with multiple actuators and sensors were too complex and expensive to use in hospitals and rehabilitation clinics as well as homes. If the assist for the activities of...
Surface electromyography (SEMG) signal has been widely used to detect the intention of the user in assistive device, because the onset time of the SEMG signal is observed before the muscle force development. The time between the onset of SEMG activity and the development of force is defined as electromechanical delay (EMD). Owing to the existence of EMD, an SEMG-driven approach has advantage of early...
This paper presented an estimation method of multi-directional and proportional fluid wrist motion intents via sEMG using a non-negative muscle synergy matrix and a joint synergy matrix. A real-time experiment was performed to validate feasibility of the proposed method, and the experimental environment was realized for the individuals with wrist amputation. Only four wrist movements were predefined...
Due to the difficulties in measurement of muscle activities and the complex musculoskeletal structure, estimations of the thumb-tip force in real time have been a challenge for controlling artificial prosthesis naturally. This study describes an isometric thumb-tip force estimation technique based on phenomenological muscle model named Hill's model. The surface electromyogram(sEMG) signals of the...
This paper describes a real-time isometric pinch force prediction algorithm using surface electromyogram (sEMG). The activities of seven muscles related to the movements of the thumb and index finger joints, which are observable using surface electrodes, were recorded during pinch force experiments. For the successful implementation of the real-time prediction algorithm, an off-line analysis was performed...
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