IEEE Transactions on Mobile Computing

IEEE Transactions on Mobile Computing (TMC) is a scholarly archival journal published monthly that focuses on the key technical issues related to Mobile Computing. It is the intent of TMC to publish mature works of research, typically those that have appeared in part in conferences. Furthermore, it is the intent of TMC to focus on issues at the link-layer and above in wireless communications, and to focus only on topics explicitly or plausibly related to mobile systems. Read the full scope of TMC.

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From the July 2018 issue

Leveraging Audio Signals for Early Recognition of Inattentive Driving with Smartphones

By Xiangyu Xu, Jiadi Yu, Yingying Chen, Yanmin Zhu, Shiyou Qian, and Minglu Li

featured article thumbnail Real-time driving behavior monitoring is a corner stone to improve driving safety. Most of the existing studies on driving behavior monitoring using smartphones only provide detection results after an abnormal driving behavior is finished, not sufficient for driver alerting and avoiding car accidents. In this paper, we leverage built-in audio devices on smartphones to realize early recognition of inattentive driving events including Fetching Forward , Picking up Drops, Turning Back, and Eating or Drinking. Through empirical studies of driving traces collected in real driving environments, we find that each type of inattentive driving event exhibits unique patterns on Doppler profiles of audio signals. This enables us to develop an Early Recognition system, ER , which can recognize inattentive driving events at an early stage and alert drivers timely. ER employs machine learning methods to first generate binary classifiers for every pair of inattentive driving events, and then develops a modified vote mechanism to form a multi-classifier for all four types of inattentive driving events, for atypical inattentive driving events along with other driving behaviors. It next turns the multi-classifier into a gradient model forest to achieve early recognition of inattentive driving. Through extensive experiments with eight volunteers driving for about two months, ER can achieve an average total accuracy of 94.80 percent for inattentive driving recognition and recognize over 80 percent inattentive driving events before the event is 50 percent finished.

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Editorials and Announcements


  • We are pleased to announce that Eylem Ekici, Professor of Electrical and Computer Engineering at Ohio State University, has been named an Associate Editor-in-Chief of the IEEE Transactions on Mobile Computing starting April 2018.
  • TMC now offers authors access to Code Ocean. Code Ocean is a cloud-based executable research platform that allows authors to share their algorithms in an effort to make the world’s scientific code more open and reproducible. Learn more or sign up for free.
  • We are pleased to announce that Marwan Krunz, the Kenneth VonBehren Endowed Professor in the Department of Electrical and Computer Engineering at the University of Arizona, USA, has been named the new Editor-in-Chief of the IEEE Transactions on Mobile Computing starting in 2017.
  • We are pleased to announce that Kevin Almeroth, Professor of Computer Science at the University of California in Santa Barbara, has been named the new Associate Editor-in-Chief of the IEEE Transactions on Mobile Computing starting in 2017.
  • According to Thomson Reuters' 2016 Journal Citation Report, TMC has an impact factor of 3.822.


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TMC is a joint publication of the:

IEEE Computer SocietyIEEE Circuits and Systems Society IEEE Comunications Society IEEE Signal Processing Society


TMC is published in cooperation with: IEEE Electromagnetic Compatibility Society, IEEE Engineering in Medicine and Biology Society, IEEE Technology Management Council, IEEE Information Theory Society, IEEE Instrumentation and Measurement Society, IEEE Power & Energy Society, IEEE Robotics and Automation Society, and IEEE Systems, Man, and Cybernetics Society

TMC is indexed in ISI

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