China
Africa
Explore chapters and articles related to this topic
Wearable and Portable Technology
Published in Denise Wilson, Wearable Solar Cell Systems, 2019
Wearable devices come in many shapes, sizes, and functions and are sold all over the world. The market for wearable technology is projected to grow to over $70 billion by 2022 (Grand View Research 2016) with North America accounting for almost 50% of wearable technology revenue. Fitness and wellness account for the largest portion of wearable technology sales followed by healthcare, infotainment, defense, and enterprise/industrial applications (Grand View Research 2016). Most wearable technology is electronic, consumes a nontrivial amount of power, and requires an energy storage device like a battery to operate properly. The variations in the amount and type of power and energy required by wearables creates many opportunities for wearable solar cell systems to meet the energy demands of these devices.
Designing Wearable Interfaces for People Who Have Hard Jobs
Published in Mustapha Mouloua, Peter A. Hancock, James Ferraro, Human Performance in Automated and Autonomous Systems, 2019
Matthew Ward, James Wen, James Head, William S. Helton
The utilization of wearable technology presents a potentially useful tool that could enhance performance to get a job done more efficiently and safely. However, it is imperative that user-centered research is done to not only understand the user's goals but also their capability to use the technology while performing the actual job. Academic researchers love laboratory-based research because it is controlled and provides reliable data that are less contaminated by third-variable confounds. However, having a college student sitting in the comforts of a research laboratory responding to stimuli on a computer screen not only lacks ecological validity but also fails to capture the behavior of the target user and the complexity of the real world. If wearable technology is going to be used, then, as the saying goes, “know thy user” and “honor thy user” (Wickens, Gordon, Liu, & Lee, 1998). The effects of cognitive workload not only impact physical performance during concurrent activity but also impact later physical performance. The cognitive load of wearables designed for people with physical duties needs to be carefully considered before deployment.
Data calibration and dimensionality reduction for health care system
Published in Amir Hussain, Mirjana Ivanovic, Electronics, Communications and Networks IV, 2015
Kemeng Chen, Janet M. Roveda, Richard D. Lane
Wearable technology has been widely used in clinical context, such as disorder detection, treatment efficiency assessment, home rehabilitation and other health care research (Patel et al. 2012). Such systems usually collect data from sensors and transmit data to mobile devices via Bluetooth to process (i.e. monitoring, feature extraction). Those data collected from sensor are defined as time-series (Esling et al. 2012). Time series processing algorithms have been studied by many researchers. In (Esling et al. 2012) many time-series processing algorithms have been discussed, including clustering (Lin & Keogh 2005), classification (Xi et al. 2006 ), segmentation (Keogh et al. 2003), etc. However, very little effort has been put on data calibration especially on real time calibration feedback. Therefore, this paper focuses on fast time-series data calibration algorithm which could be applied to training and provides real time feedbacks. Since raw data is often huge in amount and contains a lot of noise, it may not be the optimal representation for both data process and storage. Thus, we also include a binary encoded symbolic representation based on which we build the proposed real time feedback calibration algorithm
Influence of Extrinsic and Intrinsic Attributes on Consumers’ Attitude and Intention of Using Wearable Technology
Published in International Journal of Human–Computer Interaction, 2023
The presence of wearable technology has significantly influenced individuals’ lives in different aspects from their daily routines to changing their consumption patterns. Wearable technology, also referring as wearables, is defined as any electronic and computer devices which can be worn or embedded in different types of apparel (e.g., clothing, shoes, jewellery) and are often able to carry out multiple tasks and functions (e.g., mental and physical health tracking) (Bakhshian & Lee, 2018). Wearable technology is one of the six focal cutting-edge technologies (wearable technology, virtual reality, augmented reality, artificial intelligence, robotics, and big data analytics) by Ameen et al. (2021) and defined as techniques, technological devices, or achievements that employ the most current and high-level IT developments (Technopedia, 2019).
Social acceptability and product attributes of smart apparel: their effects on consumers’ attitude and use intention
Published in The Journal of The Textile Institute, 2022
Wearable technology, interchangeably called as ‘wearables’, refers to “many different forms of body-mounted technology, including wearable computers, smart clothing, and functional clothing” (Dunne, 2004, p.5). Within a short time, it has gone from being nonexistent to being everywhere for different purposes such as fitness and wellness, safety and security, fashion, and lifestyle (Chae, 2010; Eike & Bakhshian, 2018; Ghahremani Honarvar & Latifi, 2017). According to MarketsandMarkets (2019), the market value of wearable technology is expected to grow with the rate of 11.2% from 2016 to 2025 and will reach to 56.8 billion dollars by 2025. Smart apparel is a subcategory of wearable technology, which integrates information technology such as sensors into fashion (Ariyatum et al., 2005; Chae, 2010). The smart apparel market has tremendously grown during the last few years and significantly influenced individuals' lifestyles by shaping their decision-making patterns and purchase behavior. According to the Research and Markets’ (2019) report, the smart apparel market will grow from $1.6 billion in 2019 to 5.3 billion dollars by 2024, which is 26.2% increase.
Wearable technology: are product developers meeting consumer’s needs?
Published in International Journal of Fashion Design, Technology and Education, 2020
Wearable technology has the potential to help individuals monitor their disease state and improve quality of life. In many countries, the percentage of elderly adults within the population is growing. Rather than promoting the idea of elderly moving to a personal care facility, several countries advocate an ‘aging in place’ programme that encourages older citizens and individuals with chronic illness to monitor their physical conditions remotely from their homes (Patel et al., 2012). Wearable technology has made this possible by facilitating remote monitoring.