Automatically determining accidental falls in field surveying: A case study of integrating accelerometer determination and image recognition

作者：Tsai Ming Kuan^*

来源：Safety Science, 2014, 66: 19-26.

DOI：10.1016/j.ssci.2014.1.012

• Accelerometer
• Engineering education
• Field surveying
• Image recognition
• Safety training

Nowadays, many construction engineering-related students participate in field surveying. For practical exercises, since some students are injured in accidental falls, protecting their health and safety is of utmost importance. After investigating the current standard operating procedure (SOP) regarding accident management and common information techniques (e.g., object tracking, vision monitoring, geographic information), this study recognized a major problem. Unclear on-site status during fall accidents affects faculty advisors to respond to emergency situations. Therefore, this study constructed a safety practicum information system. The applied accelerometer determination-based mechanism automatically monitored the behavior of on-site students via mobile phones. For occurring accidental falls, the used image recognition-based mechanism visually highlighted the falling students through surveillance facilities. Relying on the test results in a surveying practicum, this study indicated that the safety practicum information system actively informed faculty advisors of accidental falls and clearly detailed on-site status (i.e., accident sites and falling students). Consequently, this study is a useful reference for similar applications in promoting safety education and training in field surveying and the construction industry.

• 出版日期2014-7
• 单位中央民族大学