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In this paper, to develop human movement information collecting system with SD card as storage medium. To establishes the human body and computer's relation. The hardware design of the system with PIC32MX microcontroller and the advantages of data recording using SD card are presented. To acquire 6-channel transducer signal to record SD card through serial peripheral interface were reviewed and analyzed...
A new method is reported for human muscle force modeling based on the fuzzy theory. First, a Hill-based muscle force model was built. The muscle activation parameters were ascertained by fuzzy inferential algorithm as the input of the Hill-based muscle force. Then, a weightlifting motor task was implemented. Four channels of electromyography signals and twelve virtual markers motion data were collected...
Emotion recognition is one of the most important issues in advanced human-computer interaction today. This paper proposes The Simulated Annealing Genetic Algorithm to recognizing four emotional states from four physiological signals. The experiment shows that based on physiological signals, SAGA is feasible and effective.
This paper presents a new human-machine interaction (HMI) method designed for hands-free control of electric wheelchairs. Both forehead electromyography (EMG) signals and color face image information is jointly used to identify winking and jaw clenching movements. Five winking and jaw clenching movement patterns are selected and classified, mapping into five control commands to drive a simulated wheelchair...
The key point of post-stroke rehabilitation is that exercices and therapy must begin as soon as possible after stroke in order to let the survivors regain their body movement functions. By playing the EMG-driven computer game, the patients can locate disused body parts and start training their muscles even when they have to stay on beds during the early stage of rehabilitation. Wearable EMG nodes...
This paper deals with the optimal design and control of an exoskeletal robot. First, the motion data from the fingers of a normal subject was captured by a vision system. As the human finger joints cannot be modeled by single revolute joints due to changing instantaneous centre of rotation, we have used 4-bar mechanisms to model each joint. Optimal 4-bars have been designed using genetic algorithms,...
Human foot is a complex musculoskeletal system. As it is impossible to directly measure the force of muscle attaching with limbs, a new quantitative method for dynamics analysis of human ankle muscle forces is presented by using the AnyBody Modeling System and a developed wearable motion and ground reaction force (GRF) sensor system. The sensor system can be used to continuously measure human motion...
Research on steering feel is an important subject in steering system design and vehicle handling and stability. The element of the driver, i.e. human factors, can't be neglected in the research of steering feel. Taking human factors into consideration, the approaches to kinesiology were applied to the research on physiological functions in driver's steering operation. Relevant measurement of driver's...
This paper presents the development of low cost physiotherapy monitor system. Generally, muscle will generate a signal while it is activated. For ease of study, the system will be design based on one selected muscle. The design of the low cost monitoring system has two channel input and a small size base platform. Simple EMG signal is output from the low cost platform and sent into computer. The signal...
Human motion coordination is a long-standing research issue in biomechanics, and it should also have some implications for humanoid robot control.We have built a whole-body somatosensory reflex model based on our neuromusculoskeletal model and identified its parameters through non-invasive measurements and statistical analysis. Such models are crucial for analyzing and estimating signals in the nervous...
This paper proposes a new approach named electrocorticographic (ECoG) signals characteristics driven approach (ESCDA) to precisely estimate focal sources. The ESCDA is driven by the unique spatio-temporal-spectral characteristics of brain activity provided by ECoG signals. From feasibility studies, it is concluded that the ESCDA is a reasonable and robust technique to enhance the performance of focal...
The present work investigated the behavior of conduction velocity of muscle fiber action potential of the vastus lateralis muscle through the acquisition of surface electromyographic signals during the knee isokinetic extension movement. Nine healthy male subjects performed three sets of ten maximal concentric knee extensions at 60o/s with a rest interval of one minute between the sets. The linear...
The paper represents work on the challenge of real time, non-invasive simultaneous acquisition and wireless transmission of human physiological parameters using easy and cost effective approach. Electromyograph (EMG) signal detection and analysis is utilized in various clinical and biomedical applications including generation of control signal for prosthetic tools. However, better solutions to obtain...
In the labor-intensive fields, lifting a heavy object up and down is regarded as a frequently performed motion which imposes a physical strain on workers. Power assist systems are expected to address such a problem. However, conventional systems in the related studies have the disadvantage of either the effort for wearing or specified operation manner, which may prevent them from being introduced...
This paper deals with an acquisition and recognition of Electromyography (EMG) signals, their processing to get the neural activation, their transformation to muscle activation and the relationship of neural activation to muscle activation. This issue is related to the stability of an EMG-based orthotic control. The EMG signals are recorded with surface electrodes attached to the skin on top of the...
Intra-body communication (IBC) is a new, emerging, short-range and human body based communication methodology. It is a technique to network various devices on human body, by utilizing the conducting properties of human tissues. For currently fast developed Body area network(BAN)/Body sensor network(BSN), IBC is believed to have advantages in power consumption, electromagnetic radiation, interference...
This paper presents the design of an admittance-based assistive controller and preliminary experimental results for a high performance parallel robot used for ankle rehabilitation. The goal of this work was to design a suitable control algorithm for diagnosis, training and rehabilitation of the ankle in presence of musculoskeletal injuries. An admittance control technique is used to perform patient-active...
Non-invasive recordings of intestinal myoelectrical activity (Electroenterogram, EEnG) are affected by very-low-frequency (VLF) interferences, respiration, ECG and movement artifacts. In order to identify the intestinal pacemaker activity (slow wave), VLF interferences and respiration should be removed from abdominal surface recordings. In this paper a method based on empirical mode decomposition...
Analysis of muscle activity by electrophysiological techniques is commonly used to analyze biomechanics. Although the simultaneous and intuitive understanding of both muscle activity and body motion is important in various fields, it is difficult to realize. This paper proposes a novel technique for visualizing physiological signals related to muscle activity by means of surface electromyography....
Recently, there has been an increasing interest in upper-limb prosthetic hand control, but most of these studies focus on the detection of exact motion intentions. Therefore, the responses to unexpected disturbance are not taken into consideration. On the other hand, unimpaired people respond to external disturbances by reflexive responses, hence, it is important to explore how this kind of reactive...
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