Hands Up! To Assess Your Sustained Fitness

• Published in: Intelligent Human Computer Interaction Vol. 10127; pp. 187 - 194
• Main Authors: Singh, Ankita, Tibrewal, Richa, Bhattacharya, Chandrima, Bhattacharyya, Malay
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2017; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Assisted and enhanced living; Mobile healthcare; Sensors
• ISBN: 9783319525020; 3319525026
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-319-52503-7_15

A better understanding of the mobile sensors and the need for mobile information management have improved the personal healthcare in recent years. In this study, we present a mobile-healthcare approach for the automatic assessment of sustainable fitness in hands correlated to different diseases. Arm weakness is a common symptom in many of the chronic diseases like arthritis or cardiac arrest. It is also a prominent signature of verifying fitness in many healthy persons too. To detect the amount of weakness in arm, we perform a simple test of lifting hand using a smart phone. With this approach, we can basically quantify the fitness of arm and routinely track whether the condition of the subject sustains or not.