Wearable devices in diving: A systematic review (Preprint)

2022 ◽  
Author(s):  
Benjamin Bube ◽  
Bruno Baruque Zanón ◽  
Ana María Lara Palma ◽  
Heinrich Georg Klocke

BACKGROUND Wearable devices have grown enormously in importance in recent years. While wearables have generally been well studied, they have not yet been discussed in the underwater environment. OBJECTIVE The reason for this systematic review was to systematically search for the wearables for underwater operation used in the scientific literature, to make a comprehensive map of their capabilities and features, and to discuss the general direction of development. METHODS In September 2021, we conducted an extensively search of existing literature in the largest databases using keywords. For this purpose, only articles were used that contained a wearable or device that can be used in diving. Only articles in English were considered, as well as peer-reviewed articles. RESULTS In the 36 relevant studies that were found, four device categories could be identified: safety devices, underwater communication devices, head-up displays and underwater human-computer interaction devices. CONCLUSIONS The possibilities and challenges of the respective technologies were considered and evaluated separately. Underwater communication has the most significant influence on future developments. Another topic that has not received enough attention is human-computer interaction.

2017 ◽  
Vol 107 ◽  
pp. 170-175 ◽  
Author(s):  
Zhimin He ◽  
Tao Chang ◽  
Siyu Lu ◽  
Hong Ai ◽  
Dong Wang ◽  
...  

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2258 ◽  
Author(s):  
Zhan Zhang ◽  
Yufei Song ◽  
Liqing Cui ◽  
Xiaoqian Liu ◽  
Tingshao Zhu

Background:Recently, emotion recognition has become a hot topic in human-computer interaction. If computers could understand human emotions, they could interact better with their users. This paper proposes a novel method to recognize human emotions (neutral, happy, and angry) using a smart bracelet with built-in accelerometer.Methods:In this study, a total of 123 participants were instructed to wear a customized smart bracelet with built-in accelerometer that can track and record their movements. Firstly, participants walked two minutes as normal, which served as walking behaviors in a neutral emotion condition. Participants then watched emotional film clips to elicit emotions (happy and angry). The time interval between watching two clips was more than four hours. After watching film clips, they walked for one minute, which served as walking behaviors in a happy or angry emotion condition. We collected raw data from the bracelet and extracted a few features from raw data. Based on these features, we built classification models for classifying three types of emotions (neutral, happy, and angry).Results and Discussion:For two-category classification, the classification accuracy can reach 91.3% (neutral vs. angry), 88.5% (neutral vs. happy), and 88.5% (happy vs. angry), respectively; while, for the differentiation among three types of emotions (neutral, happy, and angry), the accuracy can reach 81.2%.Conclusions:Using wearable devices, we found it is possible to recognize human emotions (neutral, happy, and angry) with fair accuracy. Results of this study may be useful to improve the performance of human-computer interaction.


Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1257 ◽  
Author(s):  
Juan M. Santos-Gago ◽  
Mateo Ramos-Merino ◽  
Sonia Vallarades-Rodriguez ◽  
Luis M. Álvarez-Sabucedo ◽  
Manuel J. Fernández-Iglesias ◽  
...  

Wrist wearables are becoming more and more popular, and its use is widespread in sports, both professional and amateur. However, at present, they do not seem to exploit all their potential. The objective of this study is to explore innovative proposals for the use of wearable wrist technology in the field of sports, to understand its potential and identify new challenges and lines of future research related to this technology. A systematic review of the scientific literature, collected in 4 major repositories, was carried out to locate research initiatives where wrist wearables were introduced to address some sports-related challenges. Those works that were limited to evaluating sensor performance in sports activities and those in which wrist wearable devices did not play a significant role were excluded. 26 articles were eventually selected for full-text analysis that discuss the introduction of wrist-worn wearables to address some innovative use in the sports field. This study showcases relevant proposals in 10 different sports. The research initiatives identified are oriented to the use of wearable wrist technology (i) for the comprehensive monitoring of sportspeople’s behavior in activities not supported by the vendors, (ii) to identify specific types of movements or actions in specific sports, and (iii) to prevent injuries. There are, however, open issues that should be tackled in the future, such as the incorporation of these devices in sports activities not currently addressed, or the provision of specific recommendation services for sport practitioners.


2018 ◽  
Author(s):  
Renata R. de Oliveira ◽  
Kamila Rios da H. Rodrigues ◽  
Vânia Paula de A. Neris

Sustainability is an updated research topic. In Computer Science, researchers especially from Human-Computer Interaction and Software Engineering areas have started to focus on how to design and build more sustainable technologies and mainly how to build technologies that could help us to live in a more sustainable way. In this last sense, several solutions have been studied and developed to be used at home. The concept of sustainable houses is growing and generally relies on technological solutions which we should interact with. However, how human-centered aspects have been considered in these works? Which aspects of sustainability have been addressed? In this work, we present a critical view on the works found in literature and also a discussion about the research gap considering the design and evaluation methodologies for such technology.


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