Interaction with Smartwatches Using Gesture Recognition: A Systematic Literature Review

Nascimento, Thamer Horbylon; Ferreira, Cristiane B. R.; Rodrigues, Wellington Galvao; Soares, Fabrízzio

doi:10.1109/compsac48688.2020.00-17

Cited by 11 publications

(2 citation statements)

References 61 publications

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“…King and Sarrafzadeh [3] in their review showed that the use of smartwatches has several limitations and their widespread adoption in health care has barriers. Another systematic review on smartwatches focused on their interaction using gesture recognition presenting several methods and applications that use the continuous recognition of gestures [4]. Furthermore, authors found positive outcomes in predicting the disease with the use of smartwatch and advocate for their continuous use in health care [5].…”

Section: Introductionmentioning

confidence: 99%

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The Use of Wearable Monitoring Devices in Sports Sciences in COVID Years (2020–2022): A Systematic Review

Pekas,

Radaš,

Baić

et al. 2023

Applied Sciences

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Purpose: Given the growth in the use of wearable measuring technology, this study aimed to investigate the frequency of writing about wearable monitoring devices in the field of sports sciences and sports-related health professions during the years affected by the COVID-19 pandemic (2020 to 2022). The goal was to observe the number of studies right before the quarantine and during the first years of pandemic. Methodology: A systematic literature analysis was performed in the Web of Science Core Collection (WoS CC) and Scopus databases in March 2023. The filters used in the search were the following: original scientific papers in the English language and open access. The research field was sports sciences in the past three years (2020–2022) in the Wos CC, and health professions and medicine in Scopus. Results: The initial search resulted in 54 studies in the WoS, 16 of which were included in a detailed qualitative analysis, and 297 studies in Scopus with 19 of them analyzed (35 altogether). The keywords used were “fitness watch” (sport watch, smartwatch), “smart shoes”, “smart clothing”, “smart ring”, “smart belt”, and “smart glasses”. In the past three years, there has been a steady increase in the number of studies using smart monitoring devices to measure their data (nine in 2020, nine in 2021, and seventeen in 2022). Results showed that the most used device is a smartwatch, while the most carried out studies were about physical activity and daily activities of living. Furthermore, there are more studies about measuring devices being used as testing equipment than about device performance in general. Conclusions: This study summarizes various research conducted in the field of sports with the use of wearable measuring devices to determine the frequency of use of such devices in sport studies.

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Section: Introductionmentioning

confidence: 99%

“…Another systematic literature on smartwatches focused on their interaction using gesture recognition [4]. The results of the surveys show several methods and applications that use the continuous recognition of gestures.…”

Section: Introductionmentioning

confidence: 99%

The Use of Wearable Monitoring Devices in Sports Sciences in COVID Years (2020–2022): A Systematic Review

Pekas,

Radaš,

Baić

et al. 2023

Applied Sciences

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Land Vehicle Control Using Continuous Gesture Recognition on Smartwatches

Nascimento,

Fernandes,

Siqueira

et al. 2024

Lecture Notes in Computer Science

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Creating a treadmill running video game with smartwatch interaction

Marín-Lora,

Chover,

Martín

et al. 2023

Multimed Tools Appl

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In recent years, indoor or at-home sports have experienced significant growth. However, monotony is a common challenge in these static physical activities. Exergames, a genre of video games that combines physical activity and entertainment, have emerged as an attractive solution. Nevertheless, running on a treadmill and engaging in other activities simultaneously presents additional challenges. The balance and concentration required during running while interacting with a video game demand a special focus on the design of the Exergame. This paper presents a mobile Exergame designed specifically for treadmill running, utilizing interaction with a smartwatch. The game offers natural environments where, through smartwatch technology, it interprets the player's movements, transforming them into running speed and interactive actions by detecting gestures within the game. The main objective is to provide users with a satisfying gaming experience tailored to the characteristics of treadmill running. Particular emphasis has been placed on prioritizing the playful component of this Exergame, recognizing its relevance in the context of treadmill running. To evaluate the achievement of objectives and the proposed hypothesis, a comparative study was conducted between the proposed Exergame and a treadmill running simulator. Participants experienced both experiences and subsequently completed the Game Experience Questionnaire (GEQ), specifically the In-game GEQ version. The results obtained indicate that participants had a better gaming experience in the Exergame than in the simulator. These findings highlight the importance of prioritizing the playful component in Exergames and provide guidelines for future improvements and developments in the field.

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Interaction with Smartwatches Using Gesture Recognition: A Systematic Literature Review

Cited by 11 publications

References 61 publications

The Use of Wearable Monitoring Devices in Sports Sciences in COVID Years (2020–2022): A Systematic Review

The Use of Wearable Monitoring Devices in Sports Sciences in COVID Years (2020–2022): A Systematic Review

Land Vehicle Control Using Continuous Gesture Recognition on Smartwatches

Creating a treadmill running video game with smartwatch interaction

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