All Outputs (3)

NEAT Activity Detection using Smartwatch at Low Sampling Frequency (2021)
Presentation / Conference Contribution
Dewan, A., Gunturi, V. M., Naik, V., & Dutta, K. K. (2021, October). NEAT Activity Detection using Smartwatch at Low Sampling Frequency. Presented at 2021 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People, and Smart City Innovations, SmartWorld/ScalCom/UIC/ATC/IoP/SCI 2021, Atlanta, GA, USA

Our paper aims to build a classification model to discern the typical NEAT (Non-Exercise Activity Thermogenesis) activities done in a home setting. The concept of NEAT is broadly defined as the energy spent in everything which is not sleeping, eating... Read More about NEAT Activity Detection using Smartwatch at Low Sampling Frequency.

A Navigation System for Safe Routing (2021)
Presentation / Conference Contribution
Kaur, R., Goyal, V., Gunturi, V. M., Saini, A., Sanadhya, K., Gupta, R., & Ratra, S. (2021, June). A Navigation System for Safe Routing. Presented at International Conference on Mobile Data Management, Toronto, ON, Canada

Globally, women are cautious when planning their routine travel routes. In a recent survey on street harassment, 82% of international respondents reported taking a different route to their destination than the conventional route due to fear of harass... Read More about A Navigation System for Safe Routing.

Finding the most navigable path in road networks (2021)
Journal Article
Kaur, R., Goyal, V., & Gunturi, V. M. (2021). Finding the most navigable path in road networks. GeoInformatica, 25(1), 207-240. https://doi.org/10.1007/s10707-020-00428-5

Input to the Most Navigable Path (MNP) problem consists of the following: (a) a road network represented as a directed graph, where each edge is associated with numeric attributes of cost and “navigability score” values; (b) a source and a destinatio... Read More about Finding the most navigable path in road networks.