A Review of Wrist-Worn Wearable: Sensors, Models, and Challenges

Al-Eidan, Rasha M. BinSultan; Al‐Khalifa, Hend S.; Al-Salman, AbdulMalik S.

doi:10.1155/2018/5853917

Cited by 50 publications

(29 citation statements)

References 49 publications

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“…Zhang et al [12] have developed a remotely tracking of patient health using IoT integrated with sensor network. Discussion of wearable device towards the usage in healthcare system in carried out by Al-Eidan et al [13]. Similar form of discussion has been carried out by Meharouech et al [14].…”

Section: Introductionmentioning

confidence: 74%

Framework for propagating stress control message using heartbeat based IoT remote monitoring analytics

Akanksha

2020

IJECE

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Abnormal level of stress is the root indicator factor to have significant impact over the health of heart and there is a close relationship between the stress levels with heart rate. Review of the existing literature showcase that there has been various work that has been carried out towards investigation of considering heart rate with an internet-of-things (IoT) system. Apart from this, existing system doesnt offer any instantaneous solution where certain intimation is offered in real-time to the user with wearables as a solution to control the stress condition. Therefore, the current paper introduces a novel framework where the sampled heart rates of the patients are captured by IoT deivices. The aggregated data are further forwarded to the cloud analytic system that uses correlation to extract the appropriate message. The system after being applied with teh machine learning approach could further extract the elite outcome followed by forwarding the contextual data to teh user. Using an analytical modelliig, the proposed system shows that it offers better accuracy and reduced processing time when compared with other machine learning approach and thereby it proves to be cost effective solution in IoT system over medical case study.

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Section: Introductionmentioning

confidence: 74%

Framework for propagating stress control message using heartbeat based IoT remote monitoring analytics

Akanksha

2020

IJECE

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“…Wearable device atau wearable system merupakan perangkat elektronik yang memiliki ukuran kecil sehingga mudah dikenakan pada bagian tubuh tanpa mengganggu pergerakan penggunanya [1] [2].…”

Section: Pendahuluanunclassified

“…Penentuan nilai ambang batas dilakukan dengan melakukan percobaan secara berulang-ulang untuk aktivitas berjalan, duduk, dan berbaring. Untuk aktivitas berjalan hanya menggunakan sumbu y yang nilai akselerasinya telah difilter dengan menggunakan persamaan (1) dan (2) Nilai ambang batas seperti pada Tabel I tersebut selanjutnya akan diimplementasikan ke dalam program yang terdapat di komputer pemroses. Alur penggunaan nilai ambang batas tersebut ditunjukkan pada Gbr.…”

Section: Alur Deteksi Aktivitasunclassified

Wearable System untuk Mendeteksi Aktivitas Fisik Menggunakan Nilai Ambang Batas Akselerasi

Liandana¹

2020

jtim

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Wearable devices can be used to detect activities. The size of the wearable device is relativelysmall and easy to wear on clothing so it does not complicate the movement of its users. In thisstudy wearable devices or wearable systems were developed using a three-axis accelerometersensor. The detected activities are walking, sitting and lying down. The technique used todetect activity is to use a threshold value. For walking activities use the y axis accelerationwhose value has been reduced from the influence of gravity. The threshold value for thecurrent activity consists of two, namely: the lower threshold value and the upper thresholdvalue, the lower threshold value is between -1 to -2 and for the upper threshold value rangesfrom 1 to 2. The sitting and lying activity uses the value acceleration on the x, y, and z axes.For sitting activity the x-axis threshold value is between -0.5 to 0.5, the y-axis value is between9 and 10, and the z-axis value is -0.5 to 0.5. The threshold value of lying activities on the xaxis is between -0.5 and 0.5, the y-axis is between -0.5 and 0.5, while the z-axis is between 9and 10. The test results on wearable devices used to detect walking, sitting and lying activitiesshow, the percentage of results of running activities by 60%, for testing sitting activity by 65,while for lying down activity by 60%, each test is carried out 20 times.

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“…A gap was detected in user experience studies of existing devices. Meanwhile, Al-Eidan et al [ 32 ] presented a systematic review on wrist-worn wearable sensors. They focused on user interface, interaction, and use studies of the sensing systems.…”

Section: Introductionmentioning

confidence: 99%

Sensing Systems for Respiration Monitoring: A Technical Systematic Review

Vanegas

Igual

Plaza

2020

Sensors

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Respiratory monitoring is essential in sleep studies, sport training, patient monitoring, or health at work, among other applications. This paper presents a comprehensive systematic review of respiration sensing systems. After several systematic searches in scientific repositories, the 198 most relevant papers in this field were analyzed in detail. Different items were examined: sensing technique and sensor, respiration parameter, sensor location and size, general system setup, communication protocol, processing station, energy autonomy and power consumption, sensor validation, processing algorithm, performance evaluation, and analysis software. As a result, several trends and the remaining research challenges of respiration sensors were identified. Long-term evaluations and usability tests should be performed. Researchers designed custom experiments to validate the sensing systems, making it difficult to compare results. Therefore, another challenge is to have a common validation framework to fairly compare sensor performance. The implementation of energy-saving strategies, the incorporation of energy harvesting techniques, the calculation of volume parameters of breathing, or the effective integration of respiration sensors into clothing are other remaining research efforts. Addressing these and other challenges outlined in the paper is a required step to obtain a feasible, robust, affordable, and unobtrusive respiration sensing system.

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A Review of Wrist-Worn Wearable: Sensors, Models, and Challenges

Cited by 50 publications

References 49 publications

Framework for propagating stress control message using heartbeat based IoT remote monitoring analytics

Framework for propagating stress control message using heartbeat based IoT remote monitoring analytics

Wearable System untuk Mendeteksi Aktivitas Fisik Menggunakan Nilai Ambang Batas Akselerasi

Sensing Systems for Respiration Monitoring: A Technical Systematic Review

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