Indoor Occupancy Estimation via Location-Aware HMM: An IoT Approach

Yoshida, Masahiro; Kleisarchaki, Sofia; Gtirgen, Levent; Nishi, Hiroaki

doi:10.1109/wowmom.2018.8449765

Cited by 10 publications

(4 citation statements)

References 15 publications

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“…This review shows a lack of diversity in ambient and wearable sensors being used to assess SI in older adults. Interesting forms of technology are emerging in the fields of observing behaviours and social connections, such as RFID and microphones [49], smart home sensors that can observe temperature, interactions with the environment and interactions with others [48,50,51] and E-textiles [52]. These types of sensors have potential for collecting relevant information for the assessment of SI and are worth investigation.…”

Section: Sensors Used In Si Assessmentmentioning

confidence: 99%

Sensor-based assessment of social isolation in community-dwelling older adults: a scoping review

Khan

Spinelli

et al. 2023

BioMed Eng OnLine

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Social isolation (SI) is a state of low social interaction with peers associated with various adverse health consequences in older adults living in the community. SI is most often assessed through retrospective self-reports, which can be prone to recall or self-report biases and influenced by stigma. Ambient and wearable sensors have been explored to objectively assess SI based on interactions of a person within the environment and physiological data. However, because this field is in its infancy, there is a lack of clarity regarding the application of sensors and their data in assessing SI and the methods to develop these assessments. To understand the current state of research in sensor-based assessment of SI in older adults living in the community and to make recommendations for the field moving forward, we conducted a scoping review. The aims of the scoping review were to (i) map the types of sensors (and their associated data) that have been used for objective SI assessment, and (ii) identify the methodological approaches used to develop the SI assessment. Using an established scoping review methodology, we identified eight relevant articles. Data from motion sensors and actigraph were commonly applied and compared and correlated with self-report measures in developing objective SI assessments. Variability exists in defining SI, feature extraction and the use of sensors and self-report assessments. Inconsistent definitions and use of various self-report scales for measuring SI create barriers to studying the concept and extracting features to build predictive models. Recommendations include establishing a consistent definition of SI for sensor-based assessment research and development and consider capturing its complexity through innovative domain-specific features.

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Section: Sensors Used In Si Assessmentmentioning

confidence: 99%

Sensor-based assessment of social isolation in community-dwelling older adults: a scoping review

Khan

Spinelli

et al. 2023

BioMed Eng OnLine

View full text Add to dashboard Cite

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“…People NO YES 5 min GB RMSE 0.66–0.77 [ 106 ] 9 M Num. People NO YES 15 min CART, SMV Accuracy 93.84–95.59% [ 50 ] 1 M Detection NO YES 5 min HMSM Accuracy 75.5–96.5% [ 107 ] 7 D Detection NO YES 1 min SLFN Accuracy 99.79% [ 61 ] 56 D arrival time—departure time—number of People NO YES ANNBRM

92% [ 108 ] 7 D Levels NO YES 3 min LAHMM Accuracy 90% ...…”

Section: Table A1mentioning

confidence: 99%

Measuring Indoor Occupancy through Environmental Sensors: A Systematic Review on Sensor Deployment

Mena

Ceballos

Alvarado-Uribe

2022

Sensors

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The COVID-19 pandemic has changed our common habits and lifestyle. Occupancy information is valued more now due to the restrictions put in place to reduce the spread of the virus. Over the years, several authors have developed methods and algorithms to detect/estimate occupancy in enclosed spaces. Similarly, different types of sensors have been installed in the places to allow this measurement. However, new researchers and practitioners often find it difficult to estimate the number of sensors to collect the data, the time needed to sense, and technical information related to sensor deployment. Therefore, this systematic review provides an overview of the type of environmental sensors used to detect/estimate occupancy, the places that have been selected to carry out experiments, details about the placement of the sensors, characteristics of datasets, and models/algorithms developed. Furthermore, with the information extracted from three selected studies, a technique to calculate the number of environmental sensors to be deployed is proposed.

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“…This review shows a lack of diversity in ambient and wearable sensors being used to assess SI in older adults. Interesting forms of technology are emerging in the fields of observing behaviours and social connections, such as RFID and microphones [42], smart home sensors that can observe temperature, interactions with the environment and interactions with others [41,43,44] and E-textiles [45]. These types of sensors have potential for collecting relevant information for the assessment of SI and are worth investigation.…”

Section: Sensors Used In Si Assessmentmentioning

confidence: 99%

Sensor-based assessment of social isolation incommunity-dwelling older adults: A scopingreview

Khan

Spinelli

et al. 2022

Preprint

View full text Add to dashboard Cite

Social isolation (SI) is a state of low social interaction with peers associated with various adverse healthconsequences in older adults living in the community. SI is most often assessed through retrospective self-reports, which can be prone to recall or self-report biases and influenced by stigma. Ambient and wearable sensors have been explored to objectively assess SI based on interactions of a person within the environment and physiological data. However, because this field is in its infancy, there is a lack of clarity regarding the application of sensors and their data in assessing SI and the methods to develop these assessments. To understand the current state of research in sensor-based assessment of SI in older adults living in the community and to make recommendations for the field moving forward, we conducted a scoping review. The aims of the scoping review were to 1. Map the types of sensors (and their associated data) that have been used for objective SI assessment, 2. Identify the methodological approaches used to develop the SI assessment, and 3. Synthesize current understandings and knowledge gaps to be addressed in future research. Using an established scoping review methodology, we identified eight relevant articles. Data from motion sensors and actigraph were commonly applied and compared and correlated with self-report measures in developing objective SI assessments. Variability exists in defining SI, feature extraction and the use of sensors and self-report assessments. Inconsistent definitions and use of various self-report scales for measuring SI create barriers to studying the concept and extracting features to build predictive models. Recommendations include establishing a consistent definition of SI for sensor-based assessment research and development and consider capturing its complexity through innovative domain-specific features.

show abstract

Indoor Occupancy Estimation via Location-Aware HMM: An IoT Approach

Cited by 10 publications

References 15 publications

Sensor-based assessment of social isolation in community-dwelling older adults: a scoping review

Sensor-based assessment of social isolation in community-dwelling older adults: a scoping review

Measuring Indoor Occupancy through Environmental Sensors: A Systematic Review on Sensor Deployment

Sensor-based assessment of social isolation incommunity-dwelling older adults: A scopingreview

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