@inproceedings{0a13b457700d4fc8bd9e82182e05838b,
title = "Gradient profiling for pedestrian services",
abstract = "Mobile systems have long been the cause of distraction to pedestrians. Motivated by the safety challenges this distraction poses, we aim to develop a sensing technology based on smartphones and wearable devices, for fine-grained location classification in urban environments. Particularly, we are using shoe mounted inertial sensors to sense the ground a pedestrian is walking on. To begin with, it seeks to detect transitions from sidewalk locations to in-street locations. This can be used for warning a distracted pedestrian or alerting an oncoming vehicle to the presence of a pedestrian in street. In addition, it can also be used for precise sidewalk-level localization in dense urban environments.",
keywords = "Accelerometer, GPS, Gyroscope, Inertial Sensing, Localization, Pedestrian Safety, Smartphone",
author = "Shubham Jain",
note = "Publisher Copyright: {\textcopyright} 2015 ACM.; 2015 MobiSys PhD Forum, PhDForum 2015 ; Conference date: 18-05-2015",
year = "2015",
month = may,
day = "18",
doi = "10.1145/2752746.2752784",
language = "English",
series = "PhDForum 2015 - Proceedings of the 2015 MobiSys PhD Forum",
publisher = "Association for Computing Machinery, Inc",
pages = "11--12",
booktitle = "PhDForum 2015 - Proceedings of the 2015 MobiSys PhD Forum",
}