TY - GEN
T1 - Array of things for smart health solutions injury prevention, performance enhancement and rehabilitation
AU - Arosha Senanayake, S. M.N.
AU - Khairiyah Binti Haji Raub, Siti Asmah
AU - Naim, Abdul Ghani
AU - Chieng, David
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2019.
PY - 2019
Y1 - 2019
N2 - Data visualization on wearable devices using cloud servers can provide solutions for personalized healthcare monitoring of general public leading to smart nation. The objective of this research is to develop personalized healthcare IoT assistive devices/tools for injury prevention, performance enhancement and rehabilitation using an Intelligent User Interfacing System. It consists of Array of Things (AoT) which interconnects hybrid prototypes built using different wearable measurement and instrumentations multimodel sensor system for transient and actual health status and classification. Android platforms have been used to prove the success of AoT using national athletes and soldiers with whom were permitted the implementation of a knowledge base encapsulated reference/benchmarking massive retrieve, retain, reuse and revise health pattern sets accessible via case base reasoning cloud storage. Two case studies were conducted for injury prevention and rehabilitation and performance enhancement of soldiers and athletes using smart health algorithms. Validation and testing were carried out using Samsung Gear S3 smart watches in real time.
AB - Data visualization on wearable devices using cloud servers can provide solutions for personalized healthcare monitoring of general public leading to smart nation. The objective of this research is to develop personalized healthcare IoT assistive devices/tools for injury prevention, performance enhancement and rehabilitation using an Intelligent User Interfacing System. It consists of Array of Things (AoT) which interconnects hybrid prototypes built using different wearable measurement and instrumentations multimodel sensor system for transient and actual health status and classification. Android platforms have been used to prove the success of AoT using national athletes and soldiers with whom were permitted the implementation of a knowledge base encapsulated reference/benchmarking massive retrieve, retain, reuse and revise health pattern sets accessible via case base reasoning cloud storage. Two case studies were conducted for injury prevention and rehabilitation and performance enhancement of soldiers and athletes using smart health algorithms. Validation and testing were carried out using Samsung Gear S3 smart watches in real time.
KW - Array of Things (AoT)
KW - Multimodel sensor system
KW - Personalize healthcare
KW - Smart health
KW - Transient health
UR - http://www.scopus.com/inward/record.url?scp=85055901351&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-02686-8_45
DO - 10.1007/978-3-030-02686-8_45
M3 - Conference contribution
AN - SCOPUS:85055901351
SN - 9783030026851
T3 - Advances in Intelligent Systems and Computing
SP - 598
EP - 615
BT - Proceedings of the Future Technologies Conference (FTC) 2018 - Volume 1
A2 - Bhatia, Rahul
A2 - Arai, Kohei
A2 - Kapoor, Supriya
PB - Springer Verlag
T2 - Future Technologies Conference, FTC 2018
Y2 - 15 November 2018 through 16 November 2018
ER -
