Hassan Ghasemzadeh

Locomotion Monitoring Using Body Sensor Networks

Body sensor networks (BSNs) create an enormous opportunity to revolutionalize the way we learn, work, entertain and live today. A particularly promising application of BSNs is in health monitoring. Research indicates that various disorders in aging ranging from mild cognitive impairment to dementia and Alzheimer’s could be diagnosed early based on the study of locomotion. Sensor platforms integrated into clothing provide the possibility of reliable locomotion monitoring. In this work, we demonstrate a real-time wireless sensor system that quantitatively measures some of the factors involved in locomotion.

A Segmentation Technique Based on Standard Deviation in Body Sensor Networks

Pervasive health monitoring utilizing wearable wireless sensor nodes can greatly enhance the quality of care individuals receive. Such systems, while in terms of signal processing mostly depend on pattern recognition schemes, must operate independently of human interaction for extended periods. The lack of a general-purpose computationally inexpensive algorithm capable of segmenting sensor readings into discrete actions and nonactions has hindered the development of these systems. We examine a segmentation scheme based on standard deviation metric. We provide experimental verification of the method.

Lightweight Signal Processing for Wearable Body Sensor Networks

Use of mobile sensor-based platforms for human action recognitionis an ever-growing area of research. Recent advances in this field allowpatients to wear several small sensors with embedded processors and radios.Collectively, these sensors form a body sensor network (BSN). AlthoughBSNs have the potential to enable many useful applications [1], limitedprocessing power, storage and energy make efficient use of these systemscrucial. Moreover, user comfort is a major issue, which can cause patients tobecome frustrated and stop wearing the sensor nodes. The interactionbetween the human body and these wearable nodes here is defined as wearability.

Report from HotMobile 2009

HotMobile is SIGMOBILEs premier venue for early-stage research. Recurring themes from this years workshop were social interactions, location awareness, and user privacy.