Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- <p>Accelerometers -- Design.</p> <p>People with disabilities -- Means of communication -- Technological innovations.</p> <p>Communication devices for people with disabilities.</p> (1)
- <p>Mine safety – Research – United States.</p> <p>Machine learning.</p> <p>Mine accidents.</p> <p>Machine learning – Technique.</p> <p>Coal mines and mining – United States – Safety measures.</p> <p>Coal mines and mining – Health aspects – United States.</p> <p>Coal miners – Health aspects – United States.</p> (1)
- Retina-controlled device (1)
Articles 1 - 2 of 2
Full-Text Articles in Computer Engineering
Identifying Hazardous Patterns In Msha Data Using Random Forests, Olivia Milam
Identifying Hazardous Patterns In Msha Data Using Random Forests, Olivia Milam
Theses, Dissertations and Capstones
Mining safety and health in the US can be better understood through the application of machine learning techniques to data collected by the Mine Safety and Health Administration (MSHA). By identifying hazardous conditions that could lead to accidents before they occur, valuable insights can be gained by MSHA, mining operators, and miners. In this study, we propose using a Random Forest machine learning model to predict whether a given mining violation will lead to an accident, and if so, whether it will be fatal or non-fatal. To achieve this, the model is trained on MSHA violation data and the sum …
Eyecom: An Innovative Approach For Computer Interaction, Anam Mazhar
Eyecom: An Innovative Approach For Computer Interaction, Anam Mazhar
Theses, Dissertations and Capstones
The world is innovating rapidly, and there is a need for continuous interaction with the technology. Sadly, there do not exist promising options for paralyzed people to interact with the machines i.e., laptops, smartphones, and tabs. A few commercial solutions such as Google Glasses are costly and cannot be afforded by every paralyzed person for such interaction. Towards this end, the thesis proposes a retina-controlled device called EYECOM. The proposed device is constructed from off-the-shelf cost-effective yet robust IoT devices (i.e., Arduino microcontrollers, Xbee wireless sensors, IR diodes, and accelerometer). The device can easily be mounted on to the glasses; …