‘Let’s Exercise’: A Context Aware Mobile Agent for Motivating Physical Activity

Gupta, Saurav; Sood, Swati; Jain, Dipika

doi:10.1007/978-81-322-2553-9_46

Cited by 3 publications

(6 citation statements)

References 13 publications

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“…BMI has recently been employed as a predictor and estimate of social behaviour in several societies. Most individuals with similar BMI readings are more likely to be connected as friends on social networks, according to studies and initiatives, than those with differing BMI values [11,12,13]. Thus, women with higher BMI who are classified as obese experience weight-based discrimination for example, in employment, modelling etc [12].…”

Section: Related Literaturementioning

confidence: 99%

“…"Context aware mobile agent for decreasing stress and obesity by stimulating physical activity" by [11] describes or focuses mostly on encouraging physical activities to reduce both stress and obesity. According to the researchers, there is a link between stress and obesity, which is best addressed by physical activity.…”

Section: Related Literaturementioning

confidence: 99%

“…According to the researchers, there is a link between stress and obesity, which is best addressed by physical activity. They created a context-aware android smartphone app that uses contextual data to provide users with alarm messages and motivate them to exercise [11]. Their program senses the user's desired physical environment using open-source web APIs as well as the smartphone's built-in sensors.…”

Section: Related Literaturementioning

confidence: 99%

“…Their program senses the user's desired physical environment using open-source web APIs as well as the smartphone's built-in sensors. The application detects the user's location and weather, temperature, humility level, and forecast, as well as generate a pattern that is sent to the web server so that the user can receive the notification [11]. The response of the user to the notification is also recorded.…”

Section: Related Literaturementioning

confidence: 99%

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Software Approach to BMI and Obesity Determination using Facial Extraction Techniques

Esiefarienrhe

Maine

2023

Journal-ISI

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The focus on COVID-19 pandemic has led doctors to reduce consultation and restrict hospital visitations by patients, a decision that has resulted in the increased cases of obesity coupled with restrictions on movement and exercises. Obesity places the health of people in danger, since it is associated with poor mental health, reduce quality of life, increases the risk of diabetes, heart disease, stroke and introduces certain types of cancer. The aim of this study therefore is to design and develop a face-to-BMI mobile application that enable people to learn about their Body Mass Index (BMI), get their obesity status, as well as receive doctor recommendations (or counsel) from the comfort of their homes using their mobile devices. The design science research methodology was used in the design and development of the mobile application for obesity assessment. A mobile phone is required to take the face photo of the users after which the algorithm will perform face detection, looking for all possible facial features such as the width-to-upper facial height ratio (WHR), cheek-to-jaw width (WJWR), perimeter of area ratio (PAR), lower face to face height ratio (FW/FH), mean of eyebrow height (MEH) using facial measurements such as the iris, mouth corners, eyebrows, and nostril. The algorithm then performs Active Shape Model (ASM) fitting. The mobile app was tested with five (5) participants and the results have shown significant improvement in obesity detection and ease of use

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Section: Related Literaturementioning

confidence: 99%

Section: Related Literaturementioning

confidence: 99%

Section: Related Literaturementioning

confidence: 99%

Section: Related Literaturementioning

confidence: 99%

See 2 more Smart Citations

Software Approach to BMI and Obesity Determination using Facial Extraction Techniques

Esiefarienrhe

Maine

2023

Journal-ISI

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“…take a break from work, stretch, walk, cycle to a park, go to a museum, etc) that promote social, physical and mental balance and considered various context parameters including: location, user agenda, weather, user profile and time. 'Let's exercise' (Gupta et al, 2016) is…”

Section: Context-aware Recommendationsmentioning

confidence: 99%

Biosensors and Internet of Things in smart healthcare applications: challenges and opportunities

Pateraki

Fysarakis²,

Sakkalis

et al. 2020

Wearable and Implantable Medical Devices

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Trigger Screen Restriction Framework, iOS use Case Towards Building a Gamified Physical Intervention

Hariri,

Stone

2024

ijacsa

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The growing trend of inactive lifestyles caused by excessive use of mobile devices raises severe concerns about people's health and well-being. This paper illustrates the technical implementation of the Trigger Screen Restriction (TSR) framework, which integrates advanced technologies, including machine learning and gamification techniques, to address the limitations of traditional gamified physical interventions. The TSR framework encourages physical activity by leveraging the fear of missing out phenomenon, strategically restricting access to social media applications based on activity goals. The framework's components, including the Screen Time Restriction, Notification Triggers, Computer Vision Model, and Reward Engine, work together to create an engaging and personalized experience that motivates users to engage in regular physical activity. Although the TSR framework represents a potentially significant step forward in gamified physical activity interventions, it remains a theoretical model requiring further investigation and rigorous testing.

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‘Let’s Exercise’: A Context Aware Mobile Agent for Motivating Physical Activity

Cited by 3 publications

References 13 publications

Software Approach to BMI and Obesity Determination using Facial Extraction Techniques

Software Approach to BMI and Obesity Determination using Facial Extraction Techniques

Biosensors and Internet of Things in smart healthcare applications: challenges and opportunities

Trigger Screen Restriction Framework, iOS use Case Towards Building a Gamified Physical Intervention

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