This paper presents a new method for signature verification using a pen equipped with sensors. Traditional dynamic signature verification methods use digitizing tablets to record data. Here real time data is gathered using sensors embedded in the pen as the person signs. These sensors capture dynamic information of the signing process such as instantaneous acceleration, rotation, and other data. After processing raw data, classification is made using a combination of techniques such as dynamic time warping and hidden Markov models with Gaussian mixtures. Along with global feature comparison this method yields low false acceptance rate and false rejection rate. Details of a prototype system and performance on human subjects are also presented.

Body Sensor Networks are rapidly expanding to everyday applications due to recent advancements in Micro-Electro-Mechanical Systems (MEMS) sensing, wireless communication and power management technologies. We leverage these advancements to develop a framework for the use of MEMS inertial sensors as a low-cost putting coach for golf. Accurate putting requires substantial control and precision that is acquired via significant practice. Unfortunately, many golfers are not aware that they are practicing flawed mechanics. An electronic coach has the capability to point out these flawed movements before they become the norm. Our framework is the first step to an electronic coach and consists of a model for a putting swing, the design of a custom sensor platform and the implementation of signal processing functions to accurately estimate the trajectory of the golf club. Based upon our model we propose the use of sensor fusion algorithms to increase accuracy without increasing hardware demands. The accuracy of the system is experimentally evaluated using a controlled test platform.

Most researchers conduct wireless networking experiments in their laboratory or similar indoor environments. Such environments are veritable RF jungles, especially when we consider the ISM bands. In this paper we examine and test several common explicit and implicit assumptions that researchers tend to make about the wireless environment. Although these assumptions are acknowledged by most researchers, the extent of their impact is often underestimated. We find that because the environment is always in flux, it is almost impossible to reproduce the results of an experiment. Hence, there is a high risk of misinterpreting the data obtained from such experiments. Through this paper we try to caution experimenters against such risky assumptions when they venture into the RF jungle. After a successful proof-of-concept experiment, we advocate the use of wireless networking testbeds that provide experimenters better control over the RF environment by using coaxial cables, programmable attenuators and power dividers/combiners.

Software simulation has often been used to evaluate proposed protocols for wireless devices. Simulation allows for rapid development and testing, but does not provide a realistic RF environment. To compensate for this, field experiments are performed. However, problems encountered during field experiments can be difficult to locate and correcting problems on-site can be time-consuming. Emulations attempt to provide the advantages of simulation and field experiments without the suffering the disadvantages of both. This demo provides an overview of the hardware, software, and emulation capabilities of ASSERT, an emulation testbed.