Review Paper On E-Smart Watch For Early Detection of Covid-19-IJRASET
Review Paper On E-Smart Watch For Early Detection of Covid-19-IJRASET
Review Paper On E-Smart Watch For Early Detection of Covid-19-IJRASET
https://doi.org/10.22214/ijraset.2021.37335
International Journal for Research in Applied Science & Engineering Technology (IJRASET)
ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429
Volume 9 Issue VIII Aug 2021- Available at www.ijraset.com
Abstract: Smart watches have the potential to support health in everyday living by: enabling self-monitoring of personal activity;
obtaining feedback based on activity measures; allowing for in-situ surveys to identify patterns of behavior; and supporting bi-
directional communication with health care providers and family members. However, smart watches are an emerging technology
and research with these devices is at a nascent stage. Seventy-three studies were returned in the search. Seventeen studies
published were included. Included studies were published from 2014 to 2016, with the exception of one published in 2011. Most
studies employed the use of consumer-grade smart watches (14/17, 82%). Patient-related studies focused on activity monitoring,
heart rate monitoring, speech therapy adherence, diabetes self-management, and detection of seizures, tremors, scratching,
eating, and medication-taking behaviors. Most patient-related studies enrolled participants with few exclusion criteria to validate
smart watch function (10/17, 58%). Smart watch technical function, acceptability, and effectiveness in supporting health must be
validated in larger field studies that enroll actual participants living with the conditions these devices target.
Keywords: smart watch, temperature and oxygen level detection, covid-19 symptoms.
I. INTRODUCTION
Wearable technology impacts the daily life of its users. On a daily basis, humans perform many physical and cognitive activities,
such as decision-making, eating, studying, walking, and communication with others. New technologies are involved in many aspects
of our lives, such as communication (through social networks) or shopping (through ecommerce websites). In 1995, a new field of
research called affective computing, which considers human affects [1], was introduced by Picard. Wearable technology, as a type
of affective computing, is mainly used for activity recognition [2, 3] and feeling or affect detection [4, 5]. Wrist wear device
technology has been studied more recently, for example, the Wear Write system for smart watches [6]. Tomo is an example of an ad
hoc wristwear system that uses hand gesture recognition [7]. Some other studies expand the interface of commercial devices, such as
[8], where the interface of a wrist wear device is extended to the user’s skin. In this article, we aim to provide a review of the studies
based on only wrist-worn devices (WWDs). The field of wearable computing has spawned many conferences and research groups.
The Conference on Human Factors in Computing Systems, the International Symposium on Wearable Computers, and the
Enterprise Wearable Technology Summit are examples of high impact conferences. Also, popular research groups exist at Carnegie
Mellon, Columbia University, Georgia Tech, MIT, Bremen University, Darmstadt University, ETH Zurich, Lancaster University,
University of South Australia, and NARA in Japan. The structure of this paper is as follows: Initially, in Section 2, we provide
background information on wearable computing (definitions, fields, devices, etc.). Then, in Section 3, we explain the methodology
of this literature review, which includes search strategy and inclusion criteria. Section 4 presents a general overview of recent
review studies of wearable computing. Section 5 focuses on experimental papers that are based on wrist-worn wearables. Sections 6
Hindawi Journal of Sensors Volume 2018, Article ID 5853917, 20 pages https://doi.org/10.1155/2018/5853917and 7 present
discussion, challenges, and open directions. At the end of this review, Section 4 presents our conclusion.
The multiplicity of uses exhibited in current smart watch studies shows the potential for these devices in health research. Smart
watches have potential for use not only in patient-centered research, but also throughout the health community, as demonstrated by
the CPR and ICU Nursing applications. In contrast to the observation by Bang et al. that a smart watch might serve as a transmission
vector for infection when worn by a clinician in a clinical setting, we maintain that a smart watch worn by a patient to monitor
individual conditions, may reduce the probability of infection because the device does not travel from room to room.
Information from smart watches have the capability to integrate with nascent Internet of Things platforms, such as Lab of Things or
Piloteur and electronic health record (EHR) data to provide holistic views of personal health trajectories across contexts.
Here We are Designed Such Application called “E-Smart Watch” for early detection of covid -19 and to take corrective measures to
save human life.
This Device Designed with the facility of continuously monitor the body temperature with also pulse rate of person, when
something went wrong like body temperature may going to LOW or HIGH it immediate notify that to person itself by vibrating that
device along with a notification to admin email. Our main intention is concerning with our Covid worriers, their Health is very
important towards nation.
B. Oximeter (MLX30100)
We will be Interfacing MAX30100 Pulse Oximeter Sensor with Arduino that can measure Blood Oxygen & Heart Rate and display
it on 16x2 LCD Display.
V. CONCLUSION
Many review studies on wearable technology have been conducted. Therefore, this paper presented a review of previous research on
wearable computing studies. As a result, and to the best of our knowledge, there were no review studies on WWDs that consider
many aspects. This paper discussed the different kinds of WWD studies, highlighted important issues, and suggested future works.
The next step is to attempt investigating more studies based on a specific domain or a specific topic that could be solved with
wearable technology then explore and detect problems with the aid of a domain expert to determine requirements.
Conflicts of Interest: The authors declare that there is no conflict of interest regarding the publication of this paper.
REFERENCES
[1] R. Rawassizadeh, B.A. Price, M. Petre, Wearables: Has the age of smartwatches finally arrived?, Commun ACM 58 (1) (2015) 45–47.
[2] E. Dolgin, Dressed to detect, Nature 511 (7508) (2014) S16–S17.
[3] A. Carpenter, A. Frontera, Smart-watches: a potential challenger to the implantable loop recorder?, Europace (2016)
[4] C.P. Friedman, A ‘‘Fundamental Theorem” of biomedical informatics, J. Am. Med. Inform. Assoc. 16 (2) (2009) 169.
[5] A.B. Brush, R. Mahajan, A. Samuel, Lab of things: simplifying and scaling deployments of experimental technology in homes, in: Handbook of Smart Homes,
Health Care and Well-Being, Springer, 2014, pp. 1–9.
[6] A. Samuel, A. Brush, R. Mahajan, Lab of things: building a research platform for connected devices in the home and beyond, ACM SIGMOBILE Mobile
Comput. Commun. Rev. 18 (4) (2015) 37–40.
[7] J. Feminella, D. Pisharoty, K. Whitehouse, Piloteur: a lightweight platform for pilot studies of smart homes, in: Proceedings of the 1st ACM Conference on
Embedded Systems for Energy-Efficient Buildings, ACM, Memphis, Tennessee, 2014, pp. 110–119.