• Classification of multi-channels SEMG signals using wavelet and neural networks on assistive robot

      Gu, Shuang; Yue, Yong; Wu, Chengdong; Maple, Carsten; Liu, Beisheng; University of Bedfordshire, UK (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2012)
      Recently, the robot technology research is changing from manufacturing industry to non-manufacturing industry, especially the service industry related to the human life. Assistive robot is a kind of novel service robot. It can not only help the elder and disabled people to rehabilitate their impaired musculoskeletal functions, but also help healthy people to perform tasks requiring large forces. This kind of robot has a broad application prospect in many areas, such as medical rehabilitation, special military operations, special/high intensity physical labour, space, sports, and entertainment. SEMG (Surface Electromyography) of Palmaris longus, brachioradialis, flexor carpiulnaris and biceps brachii are analysed with a wavelet transform method. The absolute variance of 3-layer wavelet coefficients is distilled and regarded as signal characteristics to compose eigenvectors. The eigenvectors are input data of a neural network classifier used to identify 5 different kinds of movement patterns including wrist flexor, wrist extensor, elbow flexion, forearm pronation and forearm rotation. Experiments verify the effectiveness of the proposed method.
    • Fuzzy logic based localisation in wireless sensor networks for disaster environment

      Gu, Shuang; Yue, Yong; Maple, Carsten; Wu, Chengdong; University of Bedfordshire, UK (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2012)
      Progress in micro-electromechanical systems (MEMS) and radio frequency (RF) technology has fostered the development of wireless sensor networks (WSNs). Although WSNs have been successfully applied in built environments, their applications and benefits have not been fully explored in the areas of disaster recovery and rescuing. In this paper, a novel probabilistic fuzzy logic based Range-free localisation algorithm (PFRL) is proposed. The proposed algorithm is compared with other range free localisation algorithms. Simulation results demonstrate the accurate and effectiveness of the proposed algorithm.
    • A survey of localization in wireless sensor network

      Cheng, Long; Wu, Chengdong; Zhang, Yunzhou; Wu, Hao; Li, Mengxin; Maple, Carsten (Hindawi Publishing Corporation, 2012)
      Localization is one of the key techniques in wireless sensor network. The location estimation methods can be classified into target/source localization and node self-localization. In target localization, we mainly introduce the energy-based method. Then we investigate the node self-localization methods. Since the widespread adoption of the wireless sensor network, the localization methods are different in various applications. And there are several challenges in some special scenarios. In this paper, we present a comprehensive survey of these challenges: localization in non-line-of-sight, node selection criteria for localization in energy-constrained network, scheduling the sensor node to optimize the tradeoff between localization performance and energy consumption, cooperative node localization, and localization algorithm in heterogeneous network. Finally, we introduce the evaluation criteria for localization in wireless sensor network.