of “Human Thermal-Work Strain Performance Optimization from Wearable Physiological Sensors” by Mark J. Buller, Ph.D., Brown University, May 2015. Hot environments pose a risk of heat illness for many emergency workers, athletes, and other professions especially when heavy workloads or protective clothing are necessary. Modern wearable physiological monitors may be able to mitigate risk of heat ...

Apnea, the suspension of breathing, is a condition that affects millions of people; many of whom are completely unaware of the condition. Apnea can contribute to a variety of life threatening medical conditions. Clarkson Honors student Douglas Dawson has designed a system for portable apnea detection and user notification through the use of a microprocessor controlled blood oxygen sensor. I pro...

An ideal self-adjusting environment requires adapting human thermal comfort automatically and continuously measuring the changes in comfort. According to PMV (Predicted Mean Vote) model, could be evaluated by biometric data environmental data. In this paper, we proposed a method estimate through small number of wearable sensors based on machine learning. There are two typical definitions comfor...

This project explores the use of wearable wireless sensors for the generation and manipulation of music from dance performances. The design of a prototype wireless sensor that includes dual-axis accelerometers and three single-axis gyroscopes is discussed. The input of sensor data to a Pd (Pure Data) patch is explored and possible mapping strategies for a system of sensors is discussed.

Sensor technology's impact on healthcare is growing rapidly. New applications are appearing almost daily. Wireless sensors are now used in an ever-growing number ways, such as monitoring glucose levels in diabetics, recording and tracking heart irregularities and diagnosing infectious diseases. Linking sensors to mobile phones has made wearable sensors a reality, allowing individuals to monitor...

Ambient Assisted Living (AAL) relies on continuously monitored and reliable data describing the vital status, the situation and the behavior of the elderly. Wearable, on-body sensing, computing and communication systems will outperform the ‘ambient intelligence’ approach, at least in the near future. Future wearable systems consist of a ‘Smart Phone’ as the personal computing and communication ...

A novel approach for recognizing human activities with wearable sensors is investigated in this article. The key techniques of this approach include the generalized discriminant analysis (GDA) and the relevance vector machines (RVM). The feature vectors extracted from the measured signal are processed by GDA, with its dimension remarkably reduced from 350 to 12 while fully maintaining the most ...

This paper presents a review of different classification techniques used to recognize human activities from wearable inertial sensor data. Three inertial sensor units were used in this study and were worn by healthy subjects at key points of upper/lower body limbs (chest, right thigh and left ankle). Three main steps describe the activity recognition process: sensors' placement, data pre-proces...

This paper presents an alternative approach, where gait is collected by the sensors attached to the person’s body. Such wearable sensors record motion (e.g. acceleration) of the body parts during walking. The recorded motion signals are then investigated for person recognition purposes. We analyzed acceleration signals from the foot, hip, pocket and arm. Applying various methods, the best EER o...

Life expectancy in most countries has been increasing continually over the several few decades thanks to significant improvements in medicine, public health, as well as personal and environmental hygiene. However, increased life expectancy combined with falling birth rates are expected to engender a large aging demographic in the near future that would impose significant  burdens on the socio-e...