Abstract

BackgroundSuicide is a recognized public health issue, with approximately 800,000 people dying by suicide each year. Among the different technologies used in suicide research, closed-circuit television (CCTV) and video have been used for a wide array of applications, including assessing crisis behaviors at metro stations, and using computer vision to identify a suicide attempt in progress. However, there has been no review of suicide research and interventions using CCTV and video.ObjectiveThe objective of this study was to review the literature to understand how CCTV and video data have been used in understanding and preventing suicide. Furthermore, to more fully capture progress in the field, we report on an ongoing study to respond to an identified gap in the narrative review, by using a computer vision–based system to identify behaviors prior to a suicide attempt.MethodsWe conducted a search using the keywords “suicide,” “cctv,” and “video” on PubMed, Inspec, and Web of Science. We included any studies which used CCTV or video footage to understand or prevent suicide. If a study fell into our area of interest, we included it regardless of the quality as our goal was to understand the scope of how CCTV and video had been used rather than quantify any specific effect size, but we noted the shortcomings in their design and analyses when discussing the studies.ResultsThe review found that CCTV and video have primarily been used in 3 ways: (1) to identify risk factors for suicide (eg, inferring depression from facial expressions), (2) understanding suicide after an attempt (eg, forensic applications), and (3) as part of an intervention (eg, using computer vision and automated systems to identify if a suicide attempt is in progress). Furthermore, work in progress demonstrates how we can identify behaviors prior to an attempt at a hotspot, an important gap identified by papers in the literature.ConclusionsThus far, CCTV and video have been used in a wide array of applications, most notably in designing automated detection systems, with the field heading toward an automated detection system for early intervention. Despite many challenges, we show promising progress in developing an automated detection system for preattempt behaviors, which may allow for early intervention.

Highlights

  • Suicide is a recognized public health priority, with approximately 800,000 people dying by suicide each year [1].The use of different means of suicide can vary by geographic region, with public means such as jumping from a height being more common in certain areas [2]

  • The review found that circuit television (CCTV) and video have primarily been used in 3 ways: (1) to identify risk factors for suicide, (2) understanding suicide after an attempt, and (3) as part of an intervention

  • Conclusions: far, CCTV and video have been used in a wide array of applications, most notably in designing automated detection systems, with the field heading toward an automated detection system for early intervention

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Summary

Introduction

Suicide is a recognized public health priority, with approximately 800,000 people dying by suicide each year [1]. The use of different means of suicide can vary by geographic region, with public means such as jumping from a height being more common in certain areas [2]. Suicides in public places can attract media attention, potentially introducing a degree of “notoriety” about a specific location, and increase its frequency of use [4]. These incidents can adversely affect bystanders [5]. Suicide is a recognized public health issue, with approximately 800,000 people dying by suicide each year. There has been no review of suicide research and interventions using CCTV and video

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