[1] Hu Z, Ai G, Zhang L, et al. Novel research on improving global positioning system accuracy in the pedestrian integrated navigation monitoring system [J]. Australian Journal of Electrical & Electronics Engineering, 2014, 11(4): 411-420.
[2] 李若涵, 张金艺, 徐德政, 等. 运动分类步频调节的微机电惯性测量单元室内行人航迹推算[J]. 上海大学学报(自然科学版), 2014, 20(5): 612-623.
[3] Wahab Y, Mazalan M, Bakar N A, et al. Low power shoe integrated intelligent wireless gait measurement system [J]. Journal of Physics: Conference, 2014, 495(1): 43-46.
[4] Qi Y, Soh C B, Gunawan E, et al. Estimation of spatial-temporal gait parameters using a low-cost ultrasonic motion analysis system [J]. Sensors, 2014, 14(8): 15434-15457.
[5] Kivim¨aki T, Vuorela T, Peltola P, et al. A review on device-free passive indoor positioning methods [J]. International Journal of Smart Home, 2014, 8(1): 71-94.
[6] Zhang M, Sawchuk A A. Human daily activity recognition with sparse representation using wearable sensors [J]. IEEE Journal of Biomedical and Health Informatics, 2013, 17(3): 553-560.
[7] Panahandeh G, Mohammadiha N, Leijon A, et al. Continuous hidden Markov model for pedestrian activity classification and gait analysis [J]. IEEE Trans on Instrumentation and Measurement, 2013, 62(5): 1073-1083.
[8] 邢秀玉, 刘鸿宇, 黄武. 基于加速度的小波能量特征及样本熵组合的步态分类算法[J]. 传感技术学报, 2013, 26(4): 545-549.
[9] Tian Z, Fang X, Zhou M, et al. Smartphone-based indoor integrated WiFi/MEMS positioning algorithm in a multi-floor environment [J]. Micromachines, 2015, 6(3): 347-363.
[10] 刘华, 吴文华. 高跟鞋对行走中女性躯干、下肢的力学影响[J]. 北京生物医学工程, 2011, 30(1): 105-108.
[11] 蒋伟宇, 于亮, 马维虎, 等. 一种新型寰枢椎后路动态固定系统的稳定性研究[J]. 中国临床解剖学杂志, 2014, 32(1): 76-79. |