Xiangyu Xu

• Shanghai Jiao Tong University

User authentication nowadays has become an important support for not only security guarantees but also emerging novel applications. Although WiFi signal-based user authentication has achieved initial success, it works in single-user scenarios while multi-user authentication remains a challenging task. In this paper, we present MultiAuth , a multi...

Given the increasing amount of time people spent on driving, the physical and mental health of drivers is essential to road safety. Breathing patterns are critical indicators of the wellbeing of drivers on the road. Existing studies on breathing monitoring require active user participation of wearing special sensors or relatively quiet environments...

The scrolling interaction is a pervasive human-computer interaction on smartphones, which can reflect intrinsic characteristics during dynamic browsings. Different from extrinsic statistical measures like frequency of visits and dwell time, intrinsic features underlying scrolling interactions reveal fine-grained implicit feedbacks about user intere...

Given the increasing amount of time people spent on driving, the physical and mental health of drivers is essential to road safety. Breathing patterns are critical indicators of the well-being of drivers on the road. Existing studies on breathing monitoring require active user participation of wearing special sensors or relatively quiet environment...

Given the increasing popularity, mobile devices are exploited to enhance active driving safety nowadays. Among all safety services provided for vehicles, tracking the rotation angle of steering wheel in real time can monitor the vehicles' dynamics and drivers' behaviors at the same time. In this paper, we propose a steering tracking system, SteerTr...

Human-computer interaction based on touch screens plays an increasing role in our daily lives. Besides smartphones and tablets, laptops are the most popular mobile devices used in both work and leisure. To satisfy requirements of many emerging applications, it becomes desirable to equip both writing and drawing functions directly on laptop screens....

Smartphone sensing has continuous been a hot issue for researchers in recent decades. Works involving smartphone sensing nowadays covers human activity recognition, context recognition, social network analyzing, environmental monitoring, health-care, smart transportation systems, etc. As smartphone sensing been so large an research area, we further...

The smartphone-based vehicular applications become more and more popular to analyze the increasingly complex urban traffic flows and facilitate more intelligent driving experiences including vehicle localization, enhancing driving safety, driving behavior analysis and building intelligent transportation systems. Among these applications, the vehicl...

Inattentive driving is a significant factor in distracted driving and is associated with a large number of car accidents. According to statistics, in 2014, 3179 people were killed and 431,000 were injured in the United States alone in motor vehicle crashes involving inattentive drivers. National Highway Traffic Safety Administration (NHTSA) is work...

According to the statistics from World Health Organization (WHO), traffic accidents have become one of the top ten leading causes of death in the world. Specifically, traffic accidents claimed nearly 3500 lives each day in 2014. Studies show that most traffic accidents are caused by human factors, e.g. drivers’ abnormal driving behaviors. Therefore...

This SpringerBrief begins by introducing the concept of smartphone sensing and summarizing the main tasks of applying smartphone sensing in vehicles. Chapter 2 describes the vehicle dynamics sensing model that exploits the raw data of motion sensors (i.e., accelerometer and gyroscope) to give the dynamic of vehicles, including stopping, turning, ch...

When vehicle road-level localization cannot satisfy people's need for convenience and safety driving, lane-level localization becomes a corner stone in Intelligent Transportation System. Existing works of tracking vehicles on lane-level mostly depend on pre-deployed infrastructures and additional hardwares. In this paper, we utilize smartphones to...

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 devic...