Understanding the Lifestyle of Older Population: Mobile Crowdsensing Approach

Sumudu Hasala Marakkalage; Serhad Sarica; Billy Pik Lik Lau; Sanjana Kadaba Viswanath; Thirunavukarasu Balasubramaniam; Chau Yuen; Belinda Yuen; Jianxi Luo; Richi Nayak

doi:10.1109/TCSS.2018.2883691

Understanding the Lifestyle of Older Population: Mobile Crowdsensing Approach

Sumudu Hasala Marakkalage^*
, Serhad Sarica
, Billy Pik Lik Lau
, Sanjana Kadaba Viswanath
, Thirunavukarasu Balasubramaniam
, Chau Yuen
, Belinda Yuen
, Jianxi Luo
, Richi Nayak

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

37 Citations (Scopus)

Abstract

In this paper, we present a mobile crowdsensing approach to understand the daily lifestyle of the older population in Singapore. By implementing novel clustering, sensor fusion, and user profiling techniques to analyze the multisensor data (location, noise, and light) collected from a smartphone application, we identified the travel patterns at several points of interest (POI), the impact of travel frequency for certain POI, and three main user profiles. The results show that older adults mostly spend time at food courts and community centers in their home neighborhood, but they travel away from the neighborhood for healthcare and religious purposes. We found that POIs have more visits if they are easily accessible (in terms of travel time from home) regardless of the distance from home. © 2014 IEEE.

Original language	English
Article number	8590770
Pages (from-to)	82-95
Journal	IEEE Transactions on Computational Social Systems
Volume	6
Issue number	1
DOIs	https://doi.org/10.1109/TCSS.2018.2883691
Publication status	Published - 1 Feb 2019
Externally published	Yes

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Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

Crowdsensing
human mobility
sensor fusion
urban computing
user profiling

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title = "Understanding the Lifestyle of Older Population: Mobile Crowdsensing Approach",

abstract = "In this paper, we present a mobile crowdsensing approach to understand the daily lifestyle of the older population in Singapore. By implementing novel clustering, sensor fusion, and user profiling techniques to analyze the multisensor data (location, noise, and light) collected from a smartphone application, we identified the travel patterns at several points of interest (POI), the impact of travel frequency for certain POI, and three main user profiles. The results show that older adults mostly spend time at food courts and community centers in their home neighborhood, but they travel away from the neighborhood for healthcare and religious purposes. We found that POIs have more visits if they are easily accessible (in terms of travel time from home) regardless of the distance from home. {\textcopyright} 2014 IEEE.",

keywords = "Crowdsensing, human mobility, sensor fusion, urban computing, user profiling",

author = "Marakkalage, \{Sumudu Hasala\} and Serhad Sarica and Lau, \{Billy Pik Lik\} and Viswanath, \{Sanjana Kadaba\} and Thirunavukarasu Balasubramaniam and Chau Yuen and Belinda Yuen and Jianxi Luo and Richi Nayak",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].",

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doi = "10.1109/TCSS.2018.2883691",

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TY - JOUR

T1 - Understanding the Lifestyle of Older Population

T2 - Mobile Crowdsensing Approach

AU - Marakkalage, Sumudu Hasala

AU - Sarica, Serhad

AU - Lau, Billy Pik Lik

AU - Viswanath, Sanjana Kadaba

AU - Balasubramaniam, Thirunavukarasu

AU - Yuen, Chau

AU - Yuen, Belinda

AU - Luo, Jianxi

AU - Nayak, Richi

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2019/2/1

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N2 - In this paper, we present a mobile crowdsensing approach to understand the daily lifestyle of the older population in Singapore. By implementing novel clustering, sensor fusion, and user profiling techniques to analyze the multisensor data (location, noise, and light) collected from a smartphone application, we identified the travel patterns at several points of interest (POI), the impact of travel frequency for certain POI, and three main user profiles. The results show that older adults mostly spend time at food courts and community centers in their home neighborhood, but they travel away from the neighborhood for healthcare and religious purposes. We found that POIs have more visits if they are easily accessible (in terms of travel time from home) regardless of the distance from home. © 2014 IEEE.

AB - In this paper, we present a mobile crowdsensing approach to understand the daily lifestyle of the older population in Singapore. By implementing novel clustering, sensor fusion, and user profiling techniques to analyze the multisensor data (location, noise, and light) collected from a smartphone application, we identified the travel patterns at several points of interest (POI), the impact of travel frequency for certain POI, and three main user profiles. The results show that older adults mostly spend time at food courts and community centers in their home neighborhood, but they travel away from the neighborhood for healthcare and religious purposes. We found that POIs have more visits if they are easily accessible (in terms of travel time from home) regardless of the distance from home. © 2014 IEEE.

KW - Crowdsensing

KW - human mobility

KW - sensor fusion

KW - urban computing

KW - user profiling

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DO - 10.1109/TCSS.2018.2883691

M3 - RGC 21 - Publication in refereed journal

SN - 2329-924X

VL - 6

SP - 82

EP - 95

JO - IEEE Transactions on Computational Social Systems

JF - IEEE Transactions on Computational Social Systems

IS - 1

M1 - 8590770

ER -

Understanding the Lifestyle of Older Population: Mobile Crowdsensing Approach

Abstract

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Research Keywords

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