Research Article

A Secure Recommendation System for Providing Context-Aware Physical Activity Classification for Users

Table 1

A review of context-aware RS.

ReferenceResearch findingsLimitations

A. M. Khan et al. (2010)An accelerometer sensor depends on human-activity recognitionA single triaxial accelerometer connected to the chest produced an average accuracy of 97.9%.
J. Parkka et al. (2006)Classification of activities using wearable sensor-based MDLess classification accuracy using decision tree classifier and also for Artificial Neural Network (ANN)
M. A. Case et al. (2015)Tracking activity and health of humans while walking on treadmill using MDResults did not produce significant clinical benefit for patients having chronic knee pain
Mao Ye et al. (2011)POI recommendation service through social networksSocial and geographical influence produces less effectiveness due to miscommunication through the social network.
Q. Tang et al. (2016)A privacy-preserving hybrid RS using incremental matrix factorization and user-based collaborative filtering componentFeature vector components produce less efficient for privacy-preserving
S.L. Wang et al. (2016)A hybrid predictive model that combines Markov chain and Grey Theory for predicting moving object’s pathThe cost for tracking errors is more for moving objects
Samsung, Apple (2017)They have developed a wearable device for monitoring the heartbeat.Less accuracy while measuring the heartbeat of human
D. Singh et al. (2015)E-healthcare monitoring applications that require secure 6LoWPAN networksCommunication through protocols produces more challenges through embedding services.
A.H. Sodhro et al. (2018)A novel framework for highly prevalent healthcare that manages to combine data transmission control and duty-cycle adaptation.Produces more energy consumption while processing through the on-WBAN channel.
T. Shaw et al. (2017)Developed a conceptual practice-based model of e-health to assist health professionalsThermotical analyses produce less specific by restrictive ease of translation.
Samir Mustapha et al. (2020)Continuous structural health monitoring systems to detect damage assessment and failure prediction.Costlier while moving for real-time monitoring system