A systematic literature review of intelligent data analysis methods for smart sport training
The rapid transformation of our communities and our way of life due to modern technologies
has impacted sports as well. Artificial intelligence, computational intelligence, data mining …
has impacted sports as well. Artificial intelligence, computational intelligence, data mining …
Machine learning techniques in adaptive and personalized systems for health and wellness
Traditional health systems mostly rely on rules created by experts to offer adaptive
interventions to patients. However, with recent advances in artificial intelligence (AI) and …
interventions to patients. However, with recent advances in artificial intelligence (AI) and …
[HTML][HTML] Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Sco** Review and Categorization …
Background Although physical activity (PA) has positive effects on health and well-being,
physical inactivity is a worldwide problem. Mobile health interventions have been shown to …
physical inactivity is a worldwide problem. Mobile health interventions have been shown to …
A Secure Recommendation System for Providing Context‐Aware Physical Activity Classification for Users
Advances in Wireless Body Area Networks, where embedded accelerometers, gyroscopes,
and other sensors empower users to track real‐time health data continuously, have made it …
and other sensors empower users to track real‐time health data continuously, have made it …
Modelling the training practices of recreational marathon runners to make personalised training recommendations
These days we have all become increasingly aware of the role that exercise plays in a
healthy lifestyle. Activities such as cycling, triathlons, and running have become popular …
healthy lifestyle. Activities such as cycling, triathlons, and running have become popular …
Recommending personalised targeted training adjustments for marathon runners
Preparing for the marathon involves many weeks of dedicated training. Achieving the right
balance between building strength and endurance and the need for rest and recovery is a …
balance between building strength and endurance and the need for rest and recovery is a …
[PDF][PDF] PRO-Fit: A personalized fitness assistant framework.
S Dharia, V Jain, J Patel, J Vora, S Chawla, M Eirinaki - SEKE, 2016 - ksiresearch.org
The advancements in wearable technology, where embedded accelerometers, gyroscopes
and other sensors enable the users to actively monitor their activity have made it easier for …
and other sensors enable the users to actively monitor their activity have made it easier for …
E-health monitoring system enhancement with Gaussian mixture model
In order to enhance the healthcare system, we have designed and developed a system
prototype which remotely monitors patient's vital parameters by using mobile based android …
prototype which remotely monitors patient's vital parameters by using mobile based android …
Using Pseudo Cases and Stratified Case-Based Reasoning to Generate and Evaluate Training Adjustments for Marathon Runners
Recommender systems have become a regular feature in our daily lives. They influence the
books we read, the movies we watch and the content we consume on social media. There is …
books we read, the movies we watch and the content we consume on social media. There is …
Context-aware Affective Behavior Modeling and Analytics
MT Uddin - 2024 - search.proquest.com
Affective computing (AC) is a sub-domain of AI that has the potential to assist people by
assessing mental states and making appropriate recommendations to patients, loved ones …
assessing mental states and making appropriate recommendations to patients, loved ones …