Micro-Activity Recognition using Wearables for Human Augmentation

Wearable devices have paved way for several context-aware applications in the field of health-care and sports to improve the well-being of users and their performance for human augmentation. During rehabilitation patients need accurate feedback that can empower and improve the speed of recovery. On the other hand competitive athletes need a...

Location-aware Energy Disaggregation in Smart Homes

Providing detailed appliance level energy consumption may lead consumers to understand their usage behavior and encourage them to optimize the energy usage. Non-intrusive load monitoring (NILM) or energy disaggregation aims to estimate appliance level energy consumption from aggregate consumption data of households. Hitherto, proposed NILM...

SMoT: A Smartphone-Based Mobile Testbed for Human-Centric Wireless Networks

Recently, wireless sensor networks (WSNs) are becoming vital to a wide range of application domains, from precision agriculture and smart buildings to health systems and monitoring of humans, animals, crowds and robots. In particular, there is an increasing number of sensor devices that are worn by persons who interact with them on a daily basis...

Extending behavioral test models with symbolic data

Model-based testing is a technique to automatically generate test cases and oracles in order to test an implementation. A typical behavrial model used for model-based testing is a Labeled Transition System9LTS). However cre-ating the LTS models needed for testing is a complex task, and especially when data is involved the number of states and...

Improving RGBD Indoor Mapping with IMU data

With the release of RGBD-cameras (cameras that provide both RGB as well as depth information) researchers have started evaluating how these devices can be used in fields of localization, mapping and ubiquitous computing. Intel Seattle Research proposed an indoor mapping algorithm making use of such a camera. The algorithm itself is vulnerable to...

Offloading mobile data traffic to Wi-Fi through MASS-ANET: Mobile assisted ad-hoc networking

Massive sales of smartphones and tablets have enabled more people to access the internet with a 3G connection than ever before. Predictions indicate an exponential growth of mobile data traffic world-wide reaching 6.3 exabytes per month by 2015, a 26-fold increase over 2010. Unfortunately, the current infrastructure will not be able to meet...

Passive and Active Inspection of Wireless Sensor Networks: A Practical Use Evaluation

Sensor nodes are small, autonomous, battery-powered devices that use a wireless network interface to communicate with other sensor nodes. Together these sensor nodes form a Wireless Sensor Network (WSN), which has the purpose to sense information about the environment. Before a WSN is deployed, it is tested using simulators and testbeds. Both...