Wearable computing promises to gain efficiency improvements in industrial applications due to augmentation of the device as well as improved interaction between the user and the device. In this paper, we present the results of a study with focus on utilization of wearable computing in industrial service applications. Our study consisted of a preliminary market scan with regard to wearable compu...

Background Wearable devices generate signals detecting activity, sleep, and heart rate, all of which could enable detailed and near-continuous characterization of recovery following critical illness. Methods To determine the feasibility of using a wrist-worn personal fitness tracker among patients recovering from critical illness, we conducted a prospective observational study of a convenienc...

Mobile electronic devices, such as Personal Digital Assistants (PDAs), Smart Phones, and wearable computers, have limited processing power, battery life and storage space. These restrictions slow application execution and hinder operability. A non-collaborating collection of mobile devices does not optimally use available resources. With a distributed software system, devices could collaborate ...

In this paper we introduce a paradigm for completing complex tasks from wearable devices by leveraging crowdsourcing, and demonstrate its validity for academic writing. We explore this paradigm using a collaborative authoring system, called WearWrite, which is designed to enable authors and crowd workers to work together using an Android smartwatch and Google Docs to produce academic papers, in...

The electroencephalogram (EEG) is a classic noninvasive method for measuring a person's brain waves and is used in a large number of fields: from epilepsy and sleep disorder diagnosis to brain-computer interfaces (BCIs). Electrodes are placed on the scalp to detect the microvolt-sized signals that result from synchronized neuronal activity within the brain. Current long-term EEG monitoring is g...

3.4.5. Example 5: Volcanic Activity 658 3.4.6. Example 6: Soil Moisture 659 3.5. Discussion and Conclusions 659 4. Body Sensor Networks 661 4.1. Wearable Sensors 661 4.2. Functionalized Fabrics 662 4.2.1. Metal Fibers 662 4.2.2. Conductive Inks 662 4.2.3. Inherently Conducting Polymers 662 4.2.4. Optical Fibers 662 4.2.5. Coating with Nanoparticles 662 4.2.6. Integrated Components 663 4.2.7. We...

This paper critically examines the extent to which health promoting wearable technologies can provide people with greater autonomy over their health. These devices are frequently presented as a means of expanding the possibilities people have for making healthier decisions and living healthier lives. We accept that by collecting, monitoring, analysing and displaying biomedical data, and by help...

Very recently there has been a drastic difference in people’s demands and expectations of health care systems. A large quantity of information is easily available through the internet, which leads to increased patient knowledge. As the time is passing by, the electronic devices are shrinking in size and price. Taking the advantage of this advanced technology, our demands are leading to health c...