TY - JOUR A2 - Cereatti, Andrea AU - Bandara, H. M. Ravindu T. AU - Priyanayana, K. S. AU - Jayasekara, A. G. Buddhika P. AU - Chandima, D. P. AU - Gopura，一种基于手势方差补偿的家用轮椅导航智能手势分类模型SP - 9160528 VL - 2020 AB通过提高对日常活动的信心来提高他们的生活水平是很重要的。导航是一项重要的任务，大多数老年人和残疾人需要帮助。用智能系统代替人工辅助是一种有效的解决方案，它可以通过轮椅系统辅助人类导航。手势在导航系统中经常使用。然而，这些系统并不具备准确识别手势差异的能力。为此，本文提出了一种基于人体研究建立的手势模型，针对国内导航中的每个基本动作，建立具有手势方差补偿能力的智能手势分类系统的方法。实验评估了用户对手势模型的记忆和回忆能力以及对手势模型的适应性。动态手势识别模块(DGIM)、静态手势识别模块(SGIM)和手势澄清器(GC)被用来识别手势命令。 The proposed system was analyzed for system accuracy and precision using results of the experiments conducted with human users. Accuracy of the intelligent system was determined with the use of confusion matrix. Further, those results were analyzed using Cohen’s kappa analysis in which overall accuracy, misclassification rate, precision, and Cohen’s kappa values were calculated. SN - 1176-2322 UR - https://doi.org/10.1155/2020/9160528 DO - 10.1155/2020/9160528 JF - Applied Bionics and Biomechanics PB - Hindawi KW - ER -