Pedestrian walking distance estimation based on smartphone mode recognition

• المؤلفون الرئيسيون: Wang, Qu, Ye, Langlang, Luo, Haiyong, Men, Aidong, Zhao, Fang, Ou, Changhai
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2019
• الموضوعات: Indoor Positioning; Machine Learning; Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/106755; http://hdl.handle.net/10220/48947; http://dx.doi.org/10.3390/rs11091140
• المؤسسة: Nanyang Technological University

Stride length and walking distance estimation are becoming a key aspect of many applications. One of the methods of enhancing the accuracy of pedestrian dead reckoning is to accurately estimate the stride length of pedestrians. Existing stride length estimation (SLE) algorithms present good performa...