Search results for "Wearable computer"
showing 10 items of 60 documents
Modeling, Design and Experimentation of Wearable RFID Sensor Tag
2010
Design of effective wearable tags for UHF RFID applications involving persons is still an open challenge due to the strong interaction of the antenna with the human body which is responsible of impedance detuning and efficiency degradation. A new tag geometry combining folded conductors and tuning slots is here discussed through numerical analysis and extensive experimentation also including the integration of a passive motion detector. The achieved designs, having size comparable with a credit card, may be applied to any part of the body. The measured performance indicates a possible application of these body-worn tags for the continuous tracking of human movements in a conventional room.
Nexus of Electrospun Nanofibers and Additive Processing—Overview of Wearable Tactical Gears for CBRNE Defense
2021
Due to complex nature of twenty-first century battlefield, soldiers must perform multiple tasks to protect nations while maintaining their own safety. Advances in technological innovations are critical to support such functionalities to enhance safety and security. Using nexus of electrospinning and additive processing, we present how recent developments can be used to produce new generation of protective fabrics with integrative force protection, sensing/detection of chemical, biological, radiological, nuclear, and high yield explosives (CBRNE), and biomedical functionalities. Although electrospinning has been in use for some time, the special blends and configurations of nanofibers, as de…
Machine Learning approach towards real time assessment of hand-arm vibration risk
2021
Abstract In industry 4,0, the establishment of an interconnected environment where human operators cooperate with the machines offers the opportunity for substantially improving the ergonomics and safety conditions of the workplace. This topic is discussed in the paper referring to the vibration risk, which is a well-known cause of work-related pathologies. A wearable device has been developed to collect vibration data and to segment the signals obtained in time windows. A machine learning classifier is then proposed to recognize the worker’s activity and to evaluate the exposure to vibration risks. The experimental results demonstrate the feasibility and effectiveness of the methodology pr…
Introduction: Reframing Humans and Information Systems
2010
Recent development of information and communication technologies (ICT) provides information systems (IS) designers with new potentialities to build systems for various purposes. The ongoing digital convergence refers to and discloses new views on the interactive reconfiguration of technological and social arrangements on a large scale in the contemporary society (Tilson et al. 2009). In addition to work-related activities, people use new technologies for increasingly diverse purposes, for example organizing their domestic affairs, for finding information and e-services, and for staying in touch with their friends and relatives (Lyytinen and Yoo 2002; Sorensen and Yoo 2005; Iivari et al. 201…
The Quantified Athlete: Associations of Wearables for High School Athletes
2018
The adoption of wearable technology in competitive sports can be an advantage to performance and training. Athletes who use personalised data to quantify their performances with the possibilities of sharing with others may use wearables to reinforce the athletic identity. Despite these changes, few studies have actually examined the associations between wearables and developing athletes in their quest for professional sports. Student athletes (n = 437, age = 17y) still in high schools completed a web-based survey about their professional aspirations, athletic identity, and the association with wearables. Wearables were measured by ownership and usage of apps, fitness trackers, or sports wat…
WiHAR : From Wi-Fi Channel State Information to Unobtrusive Human Activity Recognition
2020
A robust and unobtrusive human activity recognition system is essential to a multitude of applications, such as health care, active assisted living, robotics, sports, and tele-immersion. Existing well-performing activity recognition methods are either vision- or wearable sensor-based. However, they are not fully passive. In this paper, we develop WiHAR—an unobtrusive Wi-Fi-based activity recognition system. WiHAR uses the Wi-Fi network interface card to capture the channel state information (CSI) data. These CSI data are effectively processed, and then amplitude and phase information is used to obtain the spectrogram. In the subsequent step, the time-variant mean Doppler shift (MDS) caused …
Towards the definitive evaluation framework for cross-platform app development approaches
2019
Abstract Mobile app development is hindered by device fragmentation and vendor-specific modifications. Boundaries between devices blur with PC-tablet hybrids on the one side and wearables on the other. Future apps need to support a host of app-enabled devices with differing capabilities, along with their software ecosystems. Prior work on cross-platform app development concerned concepts and prototypes, and compared approaches that target smartphones. To aid choosing an appropriate framework and to support the scientific assessment of approaches, an up-to-date comparison framework is needed. Extending work on a holistic, weighted set of assessment criteria, we propose what could become the …
Experimental Characterization of Mobile Fading Channels Aiming the Design of Non-Wearable Fall Detection Radio Systems at 5.9 GHz
2016
One of the major concerns for the independent living of elderlies is a fall incident. To decrease human interaction errors and user privacy concerns of existing fall detection systems, a new generation of fall detection systems is emerging. The new trend is to design non-wearable devices that can monitor the physical activities of the home user using radio waves reflected off the body. This paper reports an in-home radio measurement campaign at 5.9 GHz, which has been conducted to study the impacts of different physical activities of the user, including fall incidents, on the channel transfer function (CTF) and the power delay profile (PDP) of indoor mobile radio channels. The home is equip…
Auxilum Medicine: A Cloud Based Platform for Real-Time Monitoring Medical Devices
2015
Nowadays, time is a very valuable resource and can make the difference between life and death. Having knowledge about this fact we decided to deal with one of the most important aspects of contemporary medicine, EMS (emergency medical services) response time. Modern systems that encourage intelligent communication methods between medical devices and doctors are a must in ubiquitous health care environments. Auxilum Medicine fosters a triple-win situation regarding the relationship between medical institutions, doctors and patients. Emergency patients should be treated with utmost care because their life is hanging by a thread if nobody is present to take immediate action. We are presenting …
Time-Frequency Characteristics of In-Home Radio Channels Influenced by Activities of the Home Occupant
2019
While aging is a serious global concern, in-home healthcare monitoring solutions are limited to context-aware systems and wearable sensors, which may easily be forgotten or ignored for privacy and comfort reasons. An emerging non-wearable fall detection approach is based on processing radio waves reflected off the body, who has no active interaction with the system. This paper reports on an indoor radio channel measurement campaign at 5.9 GHz, which has been conducted to study the impact of fall incidents and some daily life activities on the temporal and spectral properties of the indoor channel under both line-of-sight (LOS) and obstructed-LOS (OLOS) propagation conditions. The time-frequ…