Based on the regularity nature of lower-limb motion,an intent pattern recognition approach for above-knee prosthesis is proposed in this paper. To remedy the defects of recognizer based on electromyogram(EMG), we deve...Based on the regularity nature of lower-limb motion,an intent pattern recognition approach for above-knee prosthesis is proposed in this paper. To remedy the defects of recognizer based on electromyogram(EMG), we develop a pure mechanical sensor architecture for intent pattern recognition of lower-limb motion. The sensor system is composed of an accelerometer, a gyroscope mounted on the prosthetic socket, and two pressure sensors mounted under the sole. To compensate the delay in the control of prosthesis, the signals in the stance phase are used to predict the terrain and speed in the swing phase. Specifically, the intent pattern recognizer utilizes intraclass correlation coefficient(ICC) according to the Cartesian product of walking speed and terrain. Moreover, the sensor data are fused via DempsterShafer's theory. And hidden Markov model(HMM) is used to recognize the realtime motion state with the reference of the prior step. The proposed method can infer the prosthesis user's intent of walking on different terrain, which includes level ground,stair ascent, stair descent, up and down ramp. The experiments demonstrate that the intent pattern recognizer is capable of identifying five typical terrain-modes with the rate of 95.8%. The outcome of this investigation is expected to substantially improve the control performance of powered above-knee prosthesis.展开更多
A new kind of region pair grey difference classifier was proposed. The regions in pairs associated to form a feature were not necessarily directly-connected, but were selected dedicatedly to the grey transition betwee...A new kind of region pair grey difference classifier was proposed. The regions in pairs associated to form a feature were not necessarily directly-connected, but were selected dedicatedly to the grey transition between regions coinciding with the face pattern structure. Fifteen brighter and darker region pairs were chosen to form the region pair grey difference features with high discriminant capabilities. Instead of using both false acceptance rate and false rejection rate, the mutual information was used as a unified metric for evaluating the classifying performance. The parameters of specified positions, areas and grey difference bias for each single region pair feature were selected by an optimization processing aiming at maximizing the mutual information between the region pair feature and classifying distribution, respectively. An additional region-based feature depicting the correlation between global region grey intensity patterns was also proposed. Compared with the result of Viola-like approach using over 2 000 features, the proposed approach can achieve similar error rates with only 16 features and 1/6 implementation time on controlled illumination images.展开更多
针对直方图方法分选脉间参差雷达信号能力不佳且无法解析其调制模式的问题,结合参差信号的交织特性,提出联合到达时间差值(Difference of Time Of Arrival,DTOA)的一阶差分曲线和相关分析的分选方法.该方法基于DTOA一阶差分曲线提取DTO...针对直方图方法分选脉间参差雷达信号能力不佳且无法解析其调制模式的问题,结合参差信号的交织特性,提出联合到达时间差值(Difference of Time Of Arrival,DTOA)的一阶差分曲线和相关分析的分选方法.该方法基于DTOA一阶差分曲线提取DTOA关注项,然后基于关注项的自相关和交叠率识别参差调制模式、基于关注项的互相关分析参差调制模式,最后结合参差分析结果进行序列检索.实验结果表明,所提方法所需计算量较少,可以有效分选参差信号并解析其完整的调制模式,对脉冲丢失表现出较强的适应性,对子周期分布的均匀程度和干扰脉冲有较好的稳健性.展开更多
Pattern recognition with a circular harmonic filter (CHF) can have both the shift and rotation invariancet but it suffers lower signal noise ratio (SNR) as compared with a matched spatial filter (MSF). In order to imp...Pattern recognition with a circular harmonic filter (CHF) can have both the shift and rotation invariancet but it suffers lower signal noise ratio (SNR) as compared with a matched spatial filter (MSF). In order to improve the SNR of CHF, here a new filter, phase-only circular harmonic filter (POCHF) is presented and the reason why POCHF can improve the SNR of correlation peak by the point展开更多
In order to relate the design and analysis of an optical pattern recognition system with the structural parameters, only by introducing the prolate spheroidal wave function (PSWF) can the amount of information be comp...In order to relate the design and analysis of an optical pattern recognition system with the structural parameters, only by introducing the prolate spheroidal wave function (PSWF) can the amount of information be computed. Combining the imaging wave function set {ψi(x)} and distorted wave function set {b_i(p)} and two integral equations they satisfy derives the expression of the amount of information. The design method of matched filter connected with its amount of information is studied, and their amounts of information belonging to different pattern recognition systems are illustrated. It can be seen that the difference of the amounts of information for various systems is obvious.展开更多
基金supported in part by the National Nature Science Fundation(61174009,61203323)Youth Foundation of Hebei Province(F2016202327)+3 种基金the Colleges and Universities in Hebei Province Science and Technology Research Project(ZC2016020)supported in part by Key Project of NSFC(61533009)111 Project(B08015)Research Project(JCYJ20150403161923519)
文摘Based on the regularity nature of lower-limb motion,an intent pattern recognition approach for above-knee prosthesis is proposed in this paper. To remedy the defects of recognizer based on electromyogram(EMG), we develop a pure mechanical sensor architecture for intent pattern recognition of lower-limb motion. The sensor system is composed of an accelerometer, a gyroscope mounted on the prosthetic socket, and two pressure sensors mounted under the sole. To compensate the delay in the control of prosthesis, the signals in the stance phase are used to predict the terrain and speed in the swing phase. Specifically, the intent pattern recognizer utilizes intraclass correlation coefficient(ICC) according to the Cartesian product of walking speed and terrain. Moreover, the sensor data are fused via DempsterShafer's theory. And hidden Markov model(HMM) is used to recognize the realtime motion state with the reference of the prior step. The proposed method can infer the prosthesis user's intent of walking on different terrain, which includes level ground,stair ascent, stair descent, up and down ramp. The experiments demonstrate that the intent pattern recognizer is capable of identifying five typical terrain-modes with the rate of 95.8%. The outcome of this investigation is expected to substantially improve the control performance of powered above-knee prosthesis.
基金Supported by the Joint Research Funds of Dalian University of Technology and Shenyang Automation Institute,Chinese Academy of Sciences
文摘A new kind of region pair grey difference classifier was proposed. The regions in pairs associated to form a feature were not necessarily directly-connected, but were selected dedicatedly to the grey transition between regions coinciding with the face pattern structure. Fifteen brighter and darker region pairs were chosen to form the region pair grey difference features with high discriminant capabilities. Instead of using both false acceptance rate and false rejection rate, the mutual information was used as a unified metric for evaluating the classifying performance. The parameters of specified positions, areas and grey difference bias for each single region pair feature were selected by an optimization processing aiming at maximizing the mutual information between the region pair feature and classifying distribution, respectively. An additional region-based feature depicting the correlation between global region grey intensity patterns was also proposed. Compared with the result of Viola-like approach using over 2 000 features, the proposed approach can achieve similar error rates with only 16 features and 1/6 implementation time on controlled illumination images.
文摘针对直方图方法分选脉间参差雷达信号能力不佳且无法解析其调制模式的问题,结合参差信号的交织特性,提出联合到达时间差值(Difference of Time Of Arrival,DTOA)的一阶差分曲线和相关分析的分选方法.该方法基于DTOA一阶差分曲线提取DTOA关注项,然后基于关注项的自相关和交叠率识别参差调制模式、基于关注项的互相关分析参差调制模式,最后结合参差分析结果进行序列检索.实验结果表明,所提方法所需计算量较少,可以有效分选参差信号并解析其完整的调制模式,对脉冲丢失表现出较强的适应性,对子周期分布的均匀程度和干扰脉冲有较好的稳健性.
文摘Pattern recognition with a circular harmonic filter (CHF) can have both the shift and rotation invariancet but it suffers lower signal noise ratio (SNR) as compared with a matched spatial filter (MSF). In order to improve the SNR of CHF, here a new filter, phase-only circular harmonic filter (POCHF) is presented and the reason why POCHF can improve the SNR of correlation peak by the point
基金Project supported by the National Natural Science Foundation of China.
文摘In order to relate the design and analysis of an optical pattern recognition system with the structural parameters, only by introducing the prolate spheroidal wave function (PSWF) can the amount of information be computed. Combining the imaging wave function set {ψi(x)} and distorted wave function set {b_i(p)} and two integral equations they satisfy derives the expression of the amount of information. The design method of matched filter connected with its amount of information is studied, and their amounts of information belonging to different pattern recognition systems are illustrated. It can be seen that the difference of the amounts of information for various systems is obvious.
