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In this paper, we address two of the most important challenges in development and control of assistive hand orthosis. First, supported by experimental results, we present a method to determine an optimal set of grasping poses, essential for grasping daily objects. Second, we present a method for determining the minimal number of surface EMG sensors and their locations to carry out EMG-based intention...
Introduction: Several large trials of task based rehabilitation examining interventions designed to meet the main tenets of experience-dependent neuroplasticity have failed to identify an approach to rehabilitation that produces improvements in hand function that consistently returns persons with stroke to their pre-stroke levels of activity and participation. Several scholars have identified the...
This is a live demonstration of the work described in [1]. The paper ID of this submission is 1634. The goal of this work is to use a neuromorphic model for providing tactile feedback to a prosthetic hand to improve grasping functionality. Custom force sensors are placed on the fingertips of a bebionc3 (Steeper, Leeds, UK) prosthetic hand and communicate with the prosthesis controller (Infinite Biomedical...
In this study, we propose a novel method to explore the relationship between grip force and forearm muscle thickness during isometric contraction. One-directional ultrasound was used to detect the depth of muscle-bone interface. By tracking the movement of this interface, the change of muscle thickness can be calculated. A dynamometer was used to measure force. Three able-bodied subjects were asked...
Understanding how multiple muscles are recruited across a joint has typically been approached from relating muscle activity to resultant forces. New tools are now available to look deeper into a muscle's recruitment by observing groups of single motor units. Identifying changes in the motor unit activity both within a muscle and between muscles the redundancies in motor control can be better understood...
It is of great significance to detect and predict muscle fatigue for avoiding muscle injury and the negative effects on human-machine interface. This paper presents a novel approach to obtain reliable information about muscle fatigue by analyzing surface electromyography (sEMG) and near-infrared spectroscopy (NIRS) simultaneously. Muscle fatigue was induced via sustained isometric contraction at 50%...
In this paper, we present an electromyography (EMG)-driven assistive hand exoskeleton for spinal-cord-injury (SCI) patients. We developed an active assistive orthosis, called Maestro, which is light, comfortable, compliant, and capable of providing various hand poses. The EMG signals are obtained from a subject's forearm, post-processed, and classified for operating Maestro. The performance of Maestro...
The correlation between Mechanical stimulation of human body and sEMG signals is discussed. Based on a multi-information sampling system, the mechanical stimulation and sEMG signals of human body can be obtained. The results indicate there is a remarkable relationship between the mechanical stimulation and sEMG signals, and may provide theoretical basis and significative information for finding out...
This system aims to provide force and muscle activation information to assess the biomechanical performance of cane handles using data from gait trials performed by a patient. This device can be used to improve individual prescription of canes or help guide research for the design of more effective and less damaging cane handles.
Knowing the force exerted by a human operator while he/she is performing a specific task is important in many different field. For instance, limiting or optimizing the effort in sport activities allows for the development of specific training patterns for athletes, while knowing the effort made by a worker when he/she lifts a weight is important from the point of view of the safety. The effective...
Electromyography (EMG) employs widespread usage of rehabilitation robotics. EMG informs about the maximum capabilities of muscles and allows comparisons between different tasks performed. This presents a comparitive study % MVC (Maximum Voluntary Contraction) hand muscles among 30 to 60 years of age group. The movement considered are flexion and extension of elbow and wrist, pronation and supination...
Aiming at maintaining the accuracy of grasping pattern recognition meanwhile evaluating the required force, this paper uses Linear discriminant analysis (LDA) to realize pattern recognition and artificial neural networks to establish the relationship between surface EMG signals and fingertip force in each grasping mode. Once the grasping pattern identified, the program calls the corresponding force...
There are wide verities of human movement possible that involves a range from the gait of the physically handicapped, the lifting of a load by a factory worker to the performance of a superior athlete. Output of the movement can be described by a large number of kinematic variables. Modeling each case with a muscle model is difficult. Intended action data can also be extracted from surface Electromyography...
This paper presents a new feature extraction algorithm for the challenging problem of the classification of myoelectric signals for prostheses control. The algorithm employs the orientation between a set of descriptors of muscular activities and a nonlinearly mapped version of them. It incorporates information about the Electromyogram (EMG) signal power spectrum characteristics derived from each analysis...
Low back pain of workers is increased in workplaces that involve hard work. It is caused by excessive loading of the waist joint and muscle fatigue. Therefore, power-assist suits have been developed to decrease the load on the waist joint. However, previous power-assist suits have had problems such as low output or heaviness. Thus, we have developed an assist suit that is lightweight and exerts a...
Force Myography (FMG) is novel method of tracking functional motor activity using volumetric changes associated with muscle function. With comparable accuracy and multiple advantages over traditional methods of functional motor activity tracking, FMG has made leaps and bounds in terms of applications in human-machine interfaces and healthcare devices. As a field that is rapidly gaining popularity...
The sit-to-stand movement is an apparently simple yet fundamental activity of daily life. Failure of performing this movement strongly impacts the quality of life of an increasing number of elderly people. Much research thus focuses on assisting this motion. The time necessary for rising up from a sit position is very short for healthy subjects, in the order of few seconds. Using similar speeds for...
This paper presents a novel approach for human-robot cooperation in tasks with dynamic uncertainties. The essential element of the proposed method is a multi-modal interface that provides the robot with the feedback about the human motor behaviour in real-time. The human muscle activity measurements and the arm force manipulability properties encode the information about the motion and impedance,...
Generally, it is important for commercial products to design their shapes considering not only functionality but also usability. We have been discussing methodologies to analyze 3D polygon data of gripping object. Thanks to our previous works, we obtained much know-hows to design easy-to-grasp objects. In this paper, the authors applied the knowledge to design a smartphone case. The prototype case...
Most studies estimate the grasping force from electromyography (EMG) signals without the feature extraction. However, feature extraction can find the information which reflect the muscle contraction in greatest degree and eliminate the noise and redundancy. In order to find the feature with the highest accuracy, this paper selected 6 features which could represent the contraction of muscle. What's...
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