Wearables and the Internet of Things (IoT), Applications, Opportunities, and Challenges: A Survey

Dian, F. John; Vahidnia, Reza; Rahmati, Alireza

doi:10.1109/access.2020.2986329

Cited by 246 publications

(73 citation statements)

References 102 publications

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“…With the development of fitness trackers, smartwatches and Web-enabled glasses, wireless body-worn sensors have gained significant popularity in healthcare monitoring applications and medical use cases [10]. They play a central role in acquiring the patient's activity movement data, which are responsible for the recognition of the activity movements and controlling the overall movement monitoring process.…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, it can significantly reduce the cost, enrich a user's interaction experience, and boost their quality of life. Findings show that wearables based on IoT technology can bring about endless opportunities, especially for healthcare monitoring applications [10][11][12][13][14][15]. The authors of [10][11][12] also indicate that wearables based on IoT technology would be realized when an integrated IoT system is available that has all of the needed functionalities distributed at various levels.…”

Section: Introductionmentioning

confidence: 99%

“…Findings show that wearables based on IoT technology can bring about endless opportunities, especially for healthcare monitoring applications [10][11][12][13][14][15]. The authors of [10][11][12] also indicate that wearables based on IoT technology would be realized when an integrated IoT system is available that has all of the needed functionalities distributed at various levels. Despite all the progress in IoT-based healthcare systems and the potential to create an upsurge in different healthcare applications, there is limited focus on offering a wearable solution for the post-operative hip fracture rehabilitation process.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

IoT-Based Patient Movement Monitoring: The Post-Operative Hip Fracture Rehabilitation Model

Gupta

Al-Anbuky

2021

Future Internet

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Hip fracture incidence is life-threatening and has an impact on the person’s physical functionality and their ability to live independently. Proper rehabilitation with a set program can play a significant role in recovering the person’s physical mobility, boosting their quality of life, reducing adverse clinical outcomes, and shortening hospital stays. The Internet of Things (IoT), with advancements in digital health, could be leveraged to enhance the backup intelligence used in the rehabilitation process and provide transparent coordination and information about movement during activities among relevant parties. This paper presents a post-operative hip fracture rehabilitation model that clarifies the involved rehabilitation process, its associated events, and the main physical movements of interest across all stages of care. To support this model, the paper proposes an IoT-enabled movement monitoring system architecture. The architecture reflects the key operational functionalities required to monitor patients in real time and throughout the rehabilitation process. The approach was tested incrementally on ten healthy subjects, particularly for factors relevant to the recognition and tracking of movements of interest. The analysis reflects the significance of personalization and the significance of a one-minute history of data in monitoring the real-time behavior. This paper also looks at the impact of edge computing at the gateway and a wearable sensor edge on system performance. The approach provides a solution for an architecture that balances system performance with remote monitoring functional requirements.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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IoT-Based Patient Movement Monitoring: The Post-Operative Hip Fracture Rehabilitation Model

Gupta

Al-Anbuky

2021

Future Internet

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“…IoT wearables represent small computers that have multiple functions [67]. In another definition, IoT wearables represent "smart devices that can be worn as external accessories, embedded in clothing and garments, implanted in the body, or even adhered to or tattooed on the skin.…”

Section: Iot Wearablesmentioning

confidence: 99%

Social Media and IOT Wearables in Developing Marketing Strategies. Do SMEs Differ From Large Enterprises?

et al. 2020

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The fast development of technologies shapes the way companies address and understand their customers’ needs, including the more and more pressing call for sustainability. If, by now, many organizations use the advantages of social media in their marketing strategies, newer technologies, such as Internet of things (IoT) wearables, are not fully used to their whole potential. Thus, we conducted two research studies—a qualitative one in the form of a focus group where eight different companies’ representatives took part, followed by a quantitative one in the form of an online questionnaire, where 84 (Small and Medium Sized Enterprises) SMEs and Large Enterprises answered. The main purpose of our research was to investigate companies’ attitudes and practices about using social media and IoT wearable technologies in developing organizational marketing strategies. The results indicate that, though there are some differences in the perception and use of social media and IoT wearables for developing marketing strategies, these differences are not marked between SMEs and Large Enterprises, but rather between micro enterprises and other companies with higher numbers of employees. Additionally, there are some differences noticed between companies operating in regional, national, or international markets.

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“…With constantly evolving semiconductor technology, it is possible to host IoT-based intelligence on an even smaller scale. Such advances have popularized smart devices that can be worn in the form of a fitness band, a smart garment implanted with sensors, or something as futuristic as a chip implanted into the skin like a tattoo [4]. Such devices, termed as the smart wearables, rely on perceptive sensors to monitor user location and activities and exchange this data with cloud-hosted services to assist in providing a better living experience for the user [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Pre-Emption of Affliction Severity Using HRV Measurements from a Smart Wearable; Case-Study on SARS-Cov-2 Symptoms

Tanwar

Chauhan

Singh

et al. 2020

Sensors

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Smart wristbands and watches have become an important accessory to fitness, but their application to healthcare is still in a fledgling state. Their long-term wear facilitates extensive data collection and evolving sensitivity of smart wristbands allows them to read various body vitals. In this paper, we hypothesized the use of heart rate variability (HRV) measurements to drive an algorithm that can pre-empt the onset or worsening of an affliction. Due to its significance during the time of the study, SARS-Cov-2 was taken as the case study, and a hidden Markov model (HMM) was trained over its observed symptoms. The data used for the analysis was the outcome of a study hosted by Welltory. It involved the collection of SAR-Cov-2 symptoms and reading of body vitals using Apple Watch, Fitbit, and Garmin smart bands. The internal states of the HMM were made up of the absence and presence of a consistent decline in standard deviation of NN intervals (SSDN), the root mean square of the successive differences (rMSSD) in R-R intervals, and low frequency (LF), high frequency (HF), and very low frequency (VLF) components of the HRV measurements. The emission probabilities of the trained HMM instance confirmed that the onset or worsening of the symptoms had a higher probability if the HRV components displayed a consistent decline state. The results were further confirmed through the generation of probable hidden states sequences using the Viterbi algorithm. The ability to pre-empt the exigent state of an affliction would not only lower the chances of complications and mortality but may also help in curbing its spread through intelligence-backed decisions.

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Wearables and the Internet of Things (IoT), Applications, Opportunities, and Challenges: A Survey

Cited by 246 publications

References 102 publications

IoT-Based Patient Movement Monitoring: The Post-Operative Hip Fracture Rehabilitation Model

IoT-Based Patient Movement Monitoring: The Post-Operative Hip Fracture Rehabilitation Model

Social Media and IOT Wearables in Developing Marketing Strategies. Do SMEs Differ From Large Enterprises?

Pre-Emption of Affliction Severity Using HRV Measurements from a Smart Wearable; Case-Study on SARS-Cov-2 Symptoms

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