TY - CHAP
T1 - Snake Alert Application
AU - Fernando, Owen
AU - Vijaykumar, Santosh
AU - Meurzec, Rianne
AU - Ngo, Tan Quang
AU - Jayasundar, Karthikayen
AU - Fernandopulle, Yohan
AU - Wanniarachchi, Vajisha
PY - 2017/7
Y1 - 2017/7
N2 - In 2008, an estimated 90,000 lives were lost to snake bites, with India being the most devastated [1]. Governments and health agencies spend time and money trying to curb this, but frequently fail because of the dynamic nature of snake threats. Snake Alert is a public health communication application, aiming to provide users assistance in reporting and being notified of snake sightings. First, prevention of snake encounters, by crowd pooling information on snake sightings based on geographical location. Next, the application allows users to upload photos of snakes upon each sighting, and with image recognition, and identifies the respective snake species. Lastly, the application provides onsite instructional self-treatment with specific advice based snake type. This application can be used to save lives, and provide accurate & dynamic information to people living in remote parts of the world.
AB - In 2008, an estimated 90,000 lives were lost to snake bites, with India being the most devastated [1]. Governments and health agencies spend time and money trying to curb this, but frequently fail because of the dynamic nature of snake threats. Snake Alert is a public health communication application, aiming to provide users assistance in reporting and being notified of snake sightings. First, prevention of snake encounters, by crowd pooling information on snake sightings based on geographical location. Next, the application allows users to upload photos of snakes upon each sighting, and with image recognition, and identifies the respective snake species. Lastly, the application provides onsite instructional self-treatment with specific advice based snake type. This application can be used to save lives, and provide accurate & dynamic information to people living in remote parts of the world.
KW - Public Health
KW - Monitoring
KW - User Submission
KW - Image Recognition
KW - Mobile-based System
KW - Web Application
U2 - 10.1145/3079452.3079455
DO - 10.1145/3079452.3079455
M3 - Chapter
SN - 978-1-4503-5249-9
SP - 21
EP - 22
BT - Proceedings of the 2017 International Conference on Digital Health - DH '17
PB - ACM
CY - New York
ER -