標題: Application of Wearable Devices in Crime Scene Investigation and Virtual Reality
作者: Lee, Cheng-Lung
Fang, Yuan
Huang, Yi-Hsin
Lee, Szu-Hao
Yeh, William Chen-Chung
經營管理研究所
Institute of Business and Management
關鍵字: internet of Things (IoT);cloud technology;wearable device;Crime Scene Investigation (CSI);CSI equipment
公開日期: 1-一月-2019
摘要: In 2009, the United States National Academy of Sciences (NAS) proposed a list of suggestions to forensic-related issues, with emphasis on the correct use of modern technology to improve on-the-scene investigation. To ensure that the scene is fully detailed, a team of personnel including but not limited to photographer, videographer, evidence collector, and those who estimate and mark the scene are involved. However, traditional way of investigation not only utilizes too much manpower, but the destruction of crime scene is also an unavoidable problem we faced. Hence, the urgent tasks to be improved now are to protect, record and efficiently investigate the crime scene, to instantly deliver evidences for data matching, as well to provide an option to setup a video conference with experts in Forensics fields to assist officers on scene. The research integrates the concepts of "Wearable Devices" and "Forensic Cloud Computing", to showcase the benefits of Forensic database. Through cloud sharing, it is now possible to use portable devices for all on-the-scene records, video taking, and on-the-spot graphic detailing. Forensic Cloud is used with wireless and 3G/4G to deliver evidences and information. The user friendly design and mobile computing can be integrated together with instant communication and on-line forensic database. The research not only utilizes the latest technology to protect the integrity of crime scene, but will make a breakthrough in Crime Scene Investigation (CSI)-cost reduction in manpower, as well as enhancing the efficiency and effectiveness of investigation. Finally, with this research, we hope to strengthen scientific evidence, to push forward judiciary reformation, and to reduce the possibility of erroneous conviction.
URI: http://hdl.handle.net/11536/155262
ISBN: 978-1-7281-2485-8
期刊: 2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019)
起始頁: 206
結束頁: 210
顯示於類別:會議論文