@inproceedings{5ea73c58d083444b9f15b2e09ce7706b,
title = "Smart-walk: An intelligent physiological monitoring system for smart families",
abstract = "A healthy lifestyle can be maintained by analyzing the physical activities of individuals. Understanding the lifestyle of a family can help in improving quality of life. Wearable devices for activity tracking have become a rapidly growing industrial sector. However, with multiple functionalities embedded in a small device, their accuracy and power consumption can be suboptimal. This paper proposes a piezo-electric based accelerometer sensor design which helps in tracking the physical activities of family and friends. The accuracy of the activity-sensing algorithm is analyzed by various parameters analyzed through the sensor output. The proposed framework was validated using the TI MSP432, Educational BoosterPack and MATLAB{\textregistered} and the learning parameters were modeled using WEKA. The feature based human activity monitoring algorithm gives 97.9% efficiency in the worst case scenario.",
keywords = "Internet of Things (IoT), Smart Health, WEKA, Wrist-worn device, activity tracking, pedometer",
author = "Prabha Sundaravadivel and Mohanty, {Saraju P.} and Elias Kougianos and Yanambaka, {Venkata P.} and Ganapathiraju, {Madhavi K.}",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; null ; Conference date: 12-01-2018 Through 14-01-2018",
year = "2018",
month = mar,
day = "26",
doi = "10.1109/ICCE.2018.8326065",
language = "English",
series = "2018 IEEE International Conference on Consumer Electronics, ICCE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--4",
editor = "Mohanty, {Saraju P.} and Peter Corcoran and Hai Li and Anirban Sengupta and Jong-Hyouk Lee",
booktitle = "2018 IEEE International Conference on Consumer Electronics, ICCE 2018",
}