In our laboratory, the following research themes have been studying

Crowd Sensing

By aggregating and analyzing data obtained from mobile devices, smartphones and wearable sensors, it is possible to realize crowd behavior such as congestion of public spaces such as stations, underground cities, shopping malls, and so on in real time. We are also conducting crowd sensing research using infrared equipments such as laser range sensors (range sensors) and so on.

Smart Society & Edge Computing

As pervasive sensing progresses, Human centric Cyber Physical System (HCPS) will receive much attention where effects of human activities are taken into consideration for designing and developing CPS based societal systems. In our group, we focus on safe and secure urban life and study HCPS research.

Healthcare & Sports Sensing

It is expected that new life design innovation technologies can be built by utilizing information devices such as smartphones and small sensors. Research has been conducted on extending healthy life expectancy, preventing injuries and dementia in the elderly, and improving the competitiveness of athletes. Our research group is working on the development of ICT technology that contributes to the detection of heat stroke and the estimation of athletes' activities.

ITS Related Technology

Research is being actively conducted to reduce traffic congestion and improve vehicle safety by transmitting traffic information and vehicle information via wireless ad-hoc communication. We are conducting research aiming at realizing a comfortable car society such as (1) a method that reduces accidents by notifying the location of surrounding vehicles, (2) an effective method of transmitting congestion information, and (3) a simulator to evaluate those methods.

Large-Scale, Tempo-Spatial Information Gathering Mechanism over DTN

In this research project, we consider emergency situations with limited availability of cellular networks and Internet connections in urban areas, and develop a methodology to autonomously organize survived communicating nodes to realize a large-scale, tempo-spatial information gathering.

Context Recognition of Humans and Objects by Distributed Zero-Energy IoT Devices

By combining (i)zero-energy IoT devices, (ii)backscatter/RFID communication devices, and (iii)electronic circuits made by 3D printers, we will create zero-energy IoT devices for context recognition of humans and objects. In addition, we will build zero-energy IoT device networks combining these devices in mesh forms and create more advanced context recognition technology such as trajectory estimation and behavior recognition of humans and objects.

We carried out the below two projects in a few years ago

Mobile Ad-hoc Networks (MANET)

We have developed a network simulator "MobiREAL" for realistic evaluation of MANETs. It enables us to specify realistic behavior of mobile nodes, which may change their behavior and location depending on their surrounding information.

Advanced Sensing Systems

We consider situations where many persons are simultaneously injured in disaster, and propose an advanced electronic triage system. It presents dynamic change of injured persons' location and physical condition on monitors in real time.