TY - GEN
T1 - A Novel Smart Aging Approach for Monitor the Lifestyle of Elderlies and Identifying Anomalies
AU - Malek, Mohammed Shakil
AU - Gohil, Pooja
AU - Pandya, Sharnil
AU - Shivam, Anand
AU - Limbachiya, Kuldeep
PY - 2022/4/22
Y1 - 2022/4/22
N2 - For the past two decades, there is a paradigm shift in the field of automation (IoT), and it is affecting several aspects of life. “Activity Modeling” is a part of such automation, and it has several applications. One such application of “activity modeling” is in the field of distant well-being investigation and nursing. In proposed study, modeling and analysis of everyday activities of elderly persons are done by “recording of periodic behavior pattern of elderly people” on daily basis. Today, the challenge is to develop such a device that requires least human touch and provides automation in irregularity detection along with alarming arrangement in it. Presently, the investigation focuses on the diagnosis of elderly people’s day-to-day behavioral patterns by observing their daily basis routine tasks from time, context, and location point of view. For the sake of precision, numeral sensing and actuator components are installed at retirement homely places. Through literature review, an exclusive sensing blend technique has been recommended in order to record physical, social, seasonal, and well-being-related notes about humdrum activities for elderly persons. As a part of research methodology, an innovative routine-based activity-learning system is recommended that can monitor relative data annotations of countless positions at an elderly home and can aware the custodians if any case of glitch recognition happens. Observations for 20 activities have been recorded for one month in two of elderly smart homes situated in the city having sample size of more than 5000. Analysis leads to the results that legalize the precision and the proficiency of the projected structure.
AB - For the past two decades, there is a paradigm shift in the field of automation (IoT), and it is affecting several aspects of life. “Activity Modeling” is a part of such automation, and it has several applications. One such application of “activity modeling” is in the field of distant well-being investigation and nursing. In proposed study, modeling and analysis of everyday activities of elderly persons are done by “recording of periodic behavior pattern of elderly people” on daily basis. Today, the challenge is to develop such a device that requires least human touch and provides automation in irregularity detection along with alarming arrangement in it. Presently, the investigation focuses on the diagnosis of elderly people’s day-to-day behavioral patterns by observing their daily basis routine tasks from time, context, and location point of view. For the sake of precision, numeral sensing and actuator components are installed at retirement homely places. Through literature review, an exclusive sensing blend technique has been recommended in order to record physical, social, seasonal, and well-being-related notes about humdrum activities for elderly persons. As a part of research methodology, an innovative routine-based activity-learning system is recommended that can monitor relative data annotations of countless positions at an elderly home and can aware the custodians if any case of glitch recognition happens. Observations for 20 activities have been recorded for one month in two of elderly smart homes situated in the city having sample size of more than 5000. Analysis leads to the results that legalize the precision and the proficiency of the projected structure.
KW - Activity modeling
KW - Behavior pattern
KW - Health monitoring
KW - Sensor networks
UR - http://www.scopus.com/inward/record.url?scp=85128931197&partnerID=8YFLogxK
U2 - 10.1007/978-981-19-0284-0_13
DO - 10.1007/978-981-19-0284-0_13
M3 - Conference contribution
AN - SCOPUS:85128931197
SN - 9789811902833
SN - 9789811902864
T3 - Lecture Notes in Electrical Engineering
SP - 165
EP - 182
BT - Emerging Technologies for Computing, Communication and Smart Cities
A2 - Singh, Pradeep Kumar
A2 - Kolekar, Maheshkumar H.
A2 - Tanwar, Sudeep
A2 - Wierzchon, Slawomir T.
A2 - Bhatnagar, Raj K.
PB - Springer
CY - Singapore
T2 - 2nd International Conference on Emerging Technologies for Computing, Communications, and Smart Cities, ETCCS 2021
Y2 - 21 August 2021 through 22 August 2021
ER -