Development of Customized Diving Computer Based on Wearable Sensor for Marine Safety

Eun, Sung-Jong; Kim, Jungyoon; Lee, S. H.

doi:10.1109/access.2019.2894740

Cited by 8 publications

(8 citation statements)

References 12 publications

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“…With this system, a breathing signal can be read independently of the scuba equipment. The studies achieved depths of 25 m [ 34 ] and 30 m [ 35 ], which are acceptable for recreational diving.…”

Section: Resultsmentioning

confidence: 99%

“…The use of breathing detection devices in combination with underwater communication devices also provides new possibilities. In addition, by using a developed respiratory sensor system, a further focus on the collection and evaluation of diaphragm contraction data from free divers can be achieved [ 35 ].…”

Section: Discussionmentioning

confidence: 99%

“…Sensitivity as high as 97.5% for 16 dives after 13.9 hours of recording 2 pressure sensors 25 (100) Breathing detection device Altepe et al [34] Steps for entering the detailed menu should be shortened, and setting functions that were deemed to be unnecessary and dangerous (eg, rising speed warning alarm function) should be removed; diving computer usability obtained an overall average valuation of 84.7% MS5803-14BA pressure sensor (SparkFun Electronics) and respiratory sensors 30 (N/A a ) Enhance safety and collect biometric information Eun et al [35] a N/A: not applicable.…”

Section: Study Topic Authorsmentioning

confidence: 99%

“…Polymer or polymethylmethacrylate (Lexan, acryl, Plexiglas, etc) Communication 1.5 (N/A) Navea and Claveria [62] 18 (N/A) Katzschmann et al [60] 250 (N/A) Bube et al [56] Head-up display 300 (N/A) Koss and Sieber [47] 45 (100) Sieber et al [48] b N/A Gallagher et al [49] 95 (300) Koss and Sieber [52] b Tested depth (construction depth), m Housing and sealing type and study topic Safety device 30 (80) Valenko et al [36] b 11 (200) Kuch et al [31] 3 (90) Tocco et al [27] 10.5 (200) Sieber et al [32] 45 (N/A) Piispanen et al [43] 3 (90) Tocco et al [28] 300 (N/A) Allotta et al [37] N/A Hirose et al [40] Potting compound Head-up display 9 (N/A) Gallagher and Manley [50] c 95 (300) Koss and Sieber [52] b 130 (N/A) Sieber et al [53] Tempered glass Interaction 50 (N/A) Lee and Jun [63] Not specified Safety device 30 (N/A) Eun et al [35] 9 (N/A) McGrane et al [42] a N/A: not applicable.…”

Section: (N/a) DI Pumpo Et Al [33] Bmentioning

confidence: 99%

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Wearable Devices in Diving: Scoping Review

Bube¹,

Zanón²,

Palma³

et al. 2022

JMIR Mhealth Uhealth

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Background Wearables and their benefits for the safety and well-being of users have been widely studied and have had an enormous impact on the general development of these kinds of devices. Yet, the extent of research into the use and impact of wearable devices in the underwater environment is comparatively low. In the past 15 years, there has been an increased interest in research into wearables that are used underwater, as the use of such wearables has steadily grown over time. However, there has so far been no clear indication in the literature about the direction in which efforts for the design and construction of underwater wearable devices are developing. Therefore, the analysis presented in this scoping review establishes a good and powerful basis for the further development and orientation of current underwater wearables within the field. Objective In this scoping review, we targeted wearable devices for underwater use to make a comprehensive map of their capabilities and features and discuss the general direction of the development of underwater wearables and the orientation of research into novel prototypes of these kinds of devices. Methods In September 2021, we conducted an extensive search for existing literature on 4 databases and for grey literature to identify developed prototypes and early-stage products that were described and tested in water, could be worn and interacted with (eg, displays, buttons, etc), and were fully functional without external equipment. The studies were written in English, came from peer-reviewed academic sources, and were published between 2005 and 2021. We reviewed each title and abstract. The data extraction process was carried out by one author and verified by another author. Results In total, 36 relevant studies were included. Among these, 4 different categories were identified; 18 studies dealt primarily with safety devices, 9 dealt with underwater communication devices, 7 dealt with head-up displays, and 2 dealt with underwater human-computer interaction approaches. Although the safety devices seemed to have gained the most interest at the time of this study, a clear trend toward underwater communication wearables was identified. Conclusions This review sought to provide a first insight into the possibilities and challenges of the technologies that have been used in and for wearable devices that are meant for use in the underwater environment. Among these, underwater communication technologies have had the most significant influence on future developments. Moreover, a topic that has not received enough attention but should be further addressed is human-computer interaction. By developing underwater wearables that cover 2 or more of the technology categories that we identified, the extent of the benefits of such devices can be significantly increased in the future.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Study Topic Authorsmentioning

confidence: 99%

Section: (N/a) DI Pumpo Et Al [33] Bmentioning

confidence: 99%

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Wearable Devices in Diving: Scoping Review

Bube¹,

Zanón²,

Palma³

et al. 2022

JMIR Mhealth Uhealth

View full text Add to dashboard Cite

show abstract

“…Ref. [2] primarily connects divers' watches with the sensors in their diving suits, increasing the safety factors for divers and building a monitor system to help manage divers' safety. In [3], the study creates swim goggles for users to avoid horizontal or azimuth shifts underwater.…”

Section: Introductionmentioning

confidence: 99%

Diving safety alarm based on the techniques of machine learning

Ling

Shen

et al. 2021

IET Communications

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Many countries actively promote the benefits of sports; in particular, water sports are popular among the younger generation. However, despite the mature development of equipment in diving, it requires relevant training to avoid decompression sickness. Sometimes when divers encounter emergencies and they may fail to alert the coach or other companions for rescues. Currently, some divers wear emergency equipment when conducting the exercise; yet, the cost is relatively high, and the operation is complicated that people tend to forget the process when facing emergencies. This article aims to develop a wearable device that has a safety alarm function based on the technique of machine learning. The features of the suggested device are as follows: (1) cost-effective detectors for monitoring divers' conditions; (2) a combination of an Automatic Identification System (AIS) with a Global Positioning System (GPS) to send a safety alarm with the location of the diver; (3) utilize Bluetooth communication to detect if a diver left the safety range set by the coach; (4) the machine learning technique judges the health status of the diver; (5) the wearable device connects with swim goggles to deliver danger alarms, which enables divers to notice dangerous situations from the lights on the goggles. The approach suggested in this article primarily utilizes wearable devices to ensure divers' safety. The key feature of this device can prevent divers from sweeping away by currents or swimming into risky areas; meanwhile, the device can detect the risk of decompression sickness. The research executed an experiment to verify the design, and the results have proven the feasibility of the study. Additionally, with the cost-effective detectors installed on the device, the presented equipment has the potential to make it universal and increase the safety of divers.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Development of intelligent healthcare system based on ambulatory blood pressure measuring device

Eun

Kim

2020

Neural Comput & Applic

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Currently, the market size of blood pressure monitors both in domestic and overseas is gradually increasing due to the increase in hypertension patients resulting from aging population. In addition, the necessity of developing systems and devices for the healthcare of hypertension patients is also increasing. Moreover, the determination of health normality in respect to the management of hypertension patients is possible, but it is essentially important to incorporate preventive healthcare. Thus, further studies on deep learning-based prediction technology using previous data are needed. This paper proposes the development of an intelligent healthcare management system that can help to manage the health of hypertensive patients. The system includes a wrist-worn ambulatory blood pressure monitoring device that can analyze the normality of measured blood pressures. The performance evaluation results of the proposed system verified the reliability of data acquisition as compared with the existing equipment as well as the efficiency of the intelligent healthcare system.

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Development of Customized Diving Computer Based on Wearable Sensor for Marine Safety

Cited by 8 publications

References 12 publications

Wearable Devices in Diving: Scoping Review

Wearable Devices in Diving: Scoping Review

Diving safety alarm based on the techniques of machine learning

Development of intelligent healthcare system based on ambulatory blood pressure measuring device

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