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The purpose of this study is to develop a gait retraining feedback system based on wearable sensors for the gait training and the recovery of knee osteoarthritis patients. The system is mainly composed of one motion sensor, six plantar pressure sensors, vibrator and upper computer. The foot progression angle of subject measured by the motion sensor was transmitted to a upper computer through a WIFI...
The feature vector is composed of multiple characteristics which can reflect fault information of the rolling bearing. In order to quantify the sensitivity of features for fault diagnosis, the quantitative problem is transformed into the sparse representation problem based on the sparse representation theory. Since the feature vector sparseness is unknown, a sparse dictionary is constructed based...
Time-based Spiking Neural Network (SNN) has recently received increased attentions in neuromorphic computing system designs due to more bio-plausibility and better energy-efficiency. However, unleashing its potentials in realistic cognitive applications is facing significant challenges such as inefficient information representations and impractical learnings. In this work, we aim for exploring a practical...
In this paper, we propose a l2,1-norm based discriminative robust transfer learning (DKTL) method for domain adaptation tasks. The key idea is to simultaneously learn discriminative subspaces by using the proposed domain-class-consistency (DCC) metric, and the representation based robust transfer model between source domain and target domain via l21-norm minimization. The DCC metric includes two parts:...
Chronic obstructive pulmonary disease (COPD) is a type of obstructive lung disease which affects 329 million people or nearly 5% of the population in the worldwide. The respiratory training robot proposed in this paper, which is designed for using in a bed, aims to assist in COPD patients' respiratory activities and achieve rehabilitation goals on respiration through chest and respiratory muscle training...
As standing up disability is increasing under the trend of population aging of many countries, a new rehabilitation trainer system for training and analyzing human lower limb athletic ability on sit-to-stand is presented in this paper. An impedance control method was introduced to assure patients safely and effectively stand up in their normal posture. In standing up process human segment rotational...
As an integral part of reliable communication in wireless networks, effective link estimation is essential for routing protocols. However, due to the dynamic nature of wireless channels, accurate link quality estimation remains a challenging task. In this paper, we propose 4C, a novel link estimator that applies link quality prediction along with link estimation. Our approach is data-driven and consists...
Numerous rehabilitation robots have been developed to deliver therapy for hemiplegic patients with a unilateral-disabled limb or for aged persons with motor-function degenerated limbs. Recently, much attention has been paid to the development of robots that support bilateral arm training in various patterns. It has been proved that the coordination of two limbs can reduce hypertonia and abnormal synergies...
The number of hemiplegic patients with a unilateral-disabled limb has been increasing globally, this stimulate the development of rehabilitation robots that assist patients in motor function recovery and strength enhancement. However, as yet, few robots have achieved self-controlled rehabilitation training, and force feedback is generally realized with force sensors. This paper introduces a self-controlled...
Maximally Stable Extremal Region (MSER) has been proved to be a powerful local invariant feature. The original MSER detector only utilizes the intensity space. To get more information from a color image, it is naturally to extract MSERs from H, S and I spaces, or other color spaces. However, the increased MSER set inevitably bring in some unstable MSERs, and this will contaminate the over-all reliability...
Various rehabilitation systems have been developed to deliver therapy for hemiplegic patients. Fugl- Meyer scale and Motor Power Score were common used methods to evaluate training effect and validate the developed systems. However, these assessments were involved with some inevitable subjective factors of therapists. In order to objectively evaluate the effect of a bimanual training that performed...
A great deal of region-related concept detection algorithms have been proposed so far, but there are few of them concerning about the problem of mismatched regions at training and testing stages. In order to investigate the mismatch problem in region-related concept detection, we introduce three kinds of methods to annotate the datasets, and then conduct experiments on differently annotated training...
A new framework for high-level feature extraction (or semantic concept detection) is proposed. In this system, features at different granularities are extracted, and four classifiers with complementary features for each concept are employed, and then the results are fused. We have evaluated 18 fusion schemes, and choose the best one for each concept to form the final results. The experiments on the...
The paper provides a new idea on improving the calculating speed of the complex economic system evaluation by adopting the LM algorithms based on BP artificial neural network. It deeply discusses the concrete implementation process of LM and BP algorithms by using the comprehensive economic performance evaluation on fixed assets invest economic performance module as the example, and carries on the...
This paper presents an eye-gaze tracking system based on the image processing. All the computations are performed in software and the system just needs a PC camera attached to the user's computer. We first extract the facial regions form the images using the skin-color model and connected-component analysis. Then the eye regions are detected by employing the rules and area segmentation. After the...
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