Smartphones with embedded sensors have provided a new platform for activity monitoring. These sensors are not only used for smartphone feature enhancement but now are being used for various other applications. This approach takes into consideration the Micro environment of the smartphone and the possibilities of enhancing the use of the embedded sensors in order to reduce human interaction with the smartphone. Micro environment of a smartphone can be referred to attributes from several inches around the smartphone such as light, sound, touch, etc. In this work, we created a smartphone application which records sensor hints from the smartphone’s sensor array and provide feedback without requiring any human interaction. We have implemented various classifiers in the app performing at an average true positive rates of greater than 85%. We have taken into consideration smartphone energy consumption and user friendliness.
DOI: 10.17762/ijritcc2321-8169.15059
