- An Open Dataset for Human Activity Analysis using Smart Devices
The study of human mobility and activities has opened up to an incredible number of studies in the past, most of which included the use of sensors distributed on the body of the subject. More recently, the use of smart devices has been particularly relevant because they are already everywhere and they come with accurate […]
- Characterizing Driving Environments Through Bluetooth Discovery
Within the world of wireless technologies, Bluetooth has recently been at the forefront of innovation. It is becoming increasingly relevant for vehicles to become aware of their surroundings. Therefore, having knowledge of nearby Bluetooth devices, both inside and outside other vehicles, can provide the listening vehicles with enough data to learn about their environment. In […]
- Characterizing User Mobility Using Mobile Sensing Systems
Recent technological advances and the ever-greater developments in sensing and computing continue to provide new ways of understanding our daily mobility. Smart devices such as smartphones or smartwatches can, for instance, provide an enhanced user experience based on different sets of built-in sensors that follow every user action and identify its environment. Monitoring solutions such […]
- Human Mobility Profiling Using Privacy-Friendly Wi-Fi and Activity Traces
Human mobility is one of the key topics to be considered in the networks of the future, both by industrial and research communities that are already focused on multidisciplinary applications and user-centric systems. If the rapid proliferation of networks and high-tech miniature sensors makes this reality possible, the ever-growing complexity of the metrics and parameters […]
- Understanding User Daily Mobility Using Mobile and Wearable Sensing Systems
Recent technological advances and the ever-greater developments in sensing and computing continue to provide new ways of understanding our daily mobility. Smart devices such as smartphones or smartwatches can, for instance, provide an enhanced user experience based on different sets of built-in sensors that follow every user action and identify its environment. Monitoring solutions such […]
- Toward a Characterization of Human Activities using Smart Devices: A Micro/Macro Approach
The emergence of new connected devices has opened up new opportunities and allowed to imagine concepts that bring computer sciences and social sciences closer together. In particular, today’s increasingly sophisticated miniature sensors allow to track and understand human activities and behavior with a great precision. Taking different approaches and perspectives, we use in this paper […]
- Adaptive Activity and Context Recognition using Multimodal Sensors in Smart Devices
The continuous development of new technologies has led to the creation of a wide range of personal devices embedded with an ever increasing number of miniature sensors. With accelerometers and technologies such as Bluetooth and Wi-Fi, today’s smartphones have the potential to monitor and record a complete history of their owners’ movements as well as […]
- SWIPE: Monitoring Human Dynamics using Smart Devices
SWIPE is a platform for sensing, recording and processing human dynamics using smart devices. The idea behind this type of system, which exists for the most part on smartphones, is to consider new metrics from wearables — in our case smartwatches. These new devices, used in parallel with traditional smartphones, provide clear indicators of the […]
- Using Wearables to Learn from Human Dynamics
Recent technological advances have allowed the development of miniaturized sensors and the emergence of a wide range of connected objects. Whether it’s smartphones or in the broader sense wearables, the diversity of these devices and their accessibility opens up new fields for applications in the computer sciences [2, 3]. Smartwatches, which are experiencing a boom […]
Sébastien Faye
Research and Technology Associate, ex-Web Entrepreneur
orcid.org
