WAVO consists of a PoSC micro-computer, an accelerometer and a 16x16 matrix LED and express moving waves with LED. These waves are calculated by Wave Equation in real-time. Therefore, people can feel beautiful moving of lights which this equation makes. Yet, people can enjoy wave interaction as WAVO has an accelerometer. Interacting with people, this art work notices them fascinating aspects of...

A single-mask lateral tunneling accelerometer with integrated tip has been developed and characterized. High aspect ratio single-crystal silicon springs provide high resolution, wide operating bandwidth, and excellent isolation from off-axis stimuli. In this paper, we present the first such device implementing the SCREAM [1] process technology. We focus on the advantages that this technology af...

As various smart devices are introduced, the application software for analyzing the pattern and the quantity of exercise is addressed as a promising smart-phone application. In this paper, we propose a classification scheme of ambulatory movements with barometer and accelerometer of a smart-phone. According to the experimental results, the difference of barometer datum can provide the character...

BACKGROUND Physical activity promotes health and longevity. Further elaboration of the role of physical activity for human health in epidemiological studies on large samples requires accurate methods that are easy to use, cheap, and possible to repeat. The use of telecommunication technologies such as cell phones is highly interesting in this respect. In an earlier report, we showed that physic...

We demonstrate how the multitude of sensors on a smartphone can be used to construct a reliable hardware fingerprint of the phone. Such a fingerprint can be used to de-anonymize mobile devices as they connect to web sites, and as a second factor in identifying legitimate users to a remote server. We present two implementations: one based on analyzing the frequency response of the speakerphone-m...

In daily life, walking is one of the most energy consumed activity. There are many researches’ focuses on energy expenditure estimation using GPS and 3-axis accelerometer for location tracking and activity monitoring. However, in the case of walking on a slope, GPS location tracking method and 3-axis accelerometer method are failed to estimate the energy consumption while walking on a slope. In...

Activity Recognition (AR) from smartphone sensors has become a hot topic in the mobile computing domain since it can provide services directly to the user (health monitoring, fitness, context-awareness) as well as for third party applications and social network (performance sharing, profiling). Most of the research effort has been focused on direct recognition from accelerometer sensors and few...

This paper represents a first step in developing an indoor navigation system based only on Micro-Electro-Mechanical Systems (MEMS) accelerometer and gyroscope sensors. The major advantage of the proposed inertial navigation system consists on the fact that it does not require any complex infrastructure to be able to operate. For determining the distance it uses three axis accelerometer sensors,...

This paper describes gait identification using cumulants of accelerometer data. Accelerometer data of three different walking speeds for each subject (normal, slow and fast) was acquired by a cell phone placed on the person’s hip. Data analysis was based on gait cycles that were detected first. Cumulants of order from 1 to 4 with lags from 0 to 10 for second, third and fourth order cumulants we...

High-precision electrostatic accelerometers have achieved remarkable success in satellite Earth gravity field recovery missions. Ultralow-noise inertial sensors play important roles in space gravitational wave detection missions such as the Laser Interferometer Space Antenna (LISA) mission, and key technologies have been verified in the LISA Pathfinder mission. Meanwhile, at Huazhong University...