A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges

Ometov, Aleksandr; Shubina, Viktoriia; Klus, Lucie; Skibińska, Justyna; Saafi, Salwa; Pascacio, Pavel; Flueratoru, Laura; Quezada-Gaibor, Darwin; Chukhno, Nadezhda; Chukhno, Olga; Asad, Ali; Channa, Asma; Svertoka, Ekaterina; Qaim, Waleed Bin; Casanova-Marqués, Raúl; Holcer, Sylvia; Torres-Sospedra, Joaquín; Casteleyn, Sven; Ruggeri, Giuseppe; Araniti, Giuseppe; Bürget, Radim; Hošek, Jiří; Lohan, Elena Simona

doi:10.1016/j.comnet.2021.108074

Cited by 303 publications

(200 citation statements)

References 213 publications

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“…Hardware costs and power consumption profiles in WLAN and Bluetooth specifications are more suitable for wearables. However, LTE and 5G road maps provide a gigabit-per-second experience, although some wearable devices may not be able to entirely derive the benefit of LTE and 5G due to potential cost and hardware complexity [29,30].…”

Section: A D2d Technologies Comparisonmentioning

confidence: 99%

D2D-Based Cooperative Positioning Paradigm for Future Wireless Systems: A Survey

et al. 2022

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Emerging communication network applications require a location accuracy of less than 1 m in more than 95% of the service area. For this purpose, 5G New Radio (NR) technology is designed to facilitate high-accuracy continuous localization. In 5G systems, the existence of high-density small cells and the possibility of the device-to-device (D2D) communication between mobile terminals paves the way for cooperative positioning applications. From the standardization perspective, D2D technology is already under consideration (5G NR Release 16) for ultra-dense networks enabling cooperative positioning and is expected to achieve the ubiquitous positioning of below one-meter accuracy, thereby fulfilling the 5G requirements. In this survey, the strengths and weaknesses of D2D as an enabling technology for cooperative cellular positioning are analyzed (including two D2D approaches to perform cooperative positioning); lessons learned and open issues are highlighted to serve as guidelines for future research.

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Section: A D2d Technologies Comparisonmentioning

confidence: 99%

D2D-Based Cooperative Positioning Paradigm for Future Wireless Systems: A Survey

et al. 2022

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“…External systems can store and conduct analysis using artificial intelligence (AI) techniques and may provide feedback to the user of the device. While the ubiquity of wireless sensing technologies has dramatically increased in recent years, early utilization of wearable sensing devices dates back decades ago [29,48]. As of 2021, there are at least 266 companies producing at least 430 wearable sensing devices [49] that can be categorized in a taxonomy based on three layers that include: market type, intrusiveness, and body location.…”

Section: Wearable Sensing Technologiesmentioning

confidence: 99%

Recent Advances in Wearable Sensing Technologies

Pérez

Zeadally

2021

Sensors

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Wearable sensing technologies are having a worldwide impact on the creation of novel business opportunities and application services that are benefiting the common citizen. By using these technologies, people have transformed the way they live, interact with each other and their surroundings, their daily routines, and how they monitor their health conditions. We review recent advances in the area of wearable sensing technologies, focusing on aspects such as sensor technologies, communication infrastructures, service infrastructures, security, and privacy. We also review the use of consumer wearables during the coronavirus disease 19 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), and we discuss open challenges that must be addressed to further improve the efficacy of wearable sensing systems in the future.

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“…The adoption of open operating systems, APIs and SDKs contributed to the spread of these technologies, boosting the development of new systems and solutions [ 47 ], that later lead to the advent of the era of the Internet of Wearable Things (IoWT) [ 48 ]. The design of this new generation of devices (TRL 9) considered not only functional requisites but also others such as aesthetics and usability [ 49 ] to extend their use to other population groups such as the elderly [ 50 , 51 , 52 ] raisings user awareness on other emerging topics such as privacy related to lifelogging [ 53 ].…”

Section: Related Workmentioning

confidence: 99%

Robotic-Based Well-Being Monitoring and Coaching System for the Elderly in Their Daily Activities

Calatrava-Nicolás

Gutiérrez-Maestro

Bautista‐Salinas

et al. 2021

Sensors

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The increasingly ageing population and the tendency to live alone have led science and engineering researchers to search for health care solutions. In the COVID 19 pandemic, the elderly have been seriously affected in addition to suffering from isolation and its associated and psychological consequences. This paper provides an overview of the RobWell (Robotic-based Well-Being Monitoring and Coaching System for the Elderly in their Daily Activities) system. It is a system focused on the field of artificial intelligence for mood prediction and coaching. This paper presents a general overview of the initially proposed system as well as the preliminary results related to the home automation subsystem, autonomous robot navigation and mood estimation through machine learning prior to the final system integration, which will be discussed in future works. The main goal is to improve their mental well-being during their daily household activities. The system is composed of ambient intelligence with intelligent sensors, actuators and a robotic platform that interacts with the user. A test smart home system was set up in which the sensors, actuators and robotic platform were integrated and tested. For artificial intelligence applied to mood prediction, we used machine learning to classify several physiological signals into different moods. In robotics, it was concluded that the ROS autonomous navigation stack and its autodocking algorithm were not reliable enough for this task, while the robot’s autonomy was sufficient. Semantic navigation, artificial intelligence and computer vision alternatives are being sought.

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A Survey on Wearable Technology: History, State-of-the-Art and Current Challenges

Cited by 303 publications

References 213 publications

D2D-Based Cooperative Positioning Paradigm for Future Wireless Systems: A Survey

D2D-Based Cooperative Positioning Paradigm for Future Wireless Systems: A Survey

Recent Advances in Wearable Sensing Technologies

Robotic-Based Well-Being Monitoring and Coaching System for the Elderly in Their Daily Activities

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