Collaborative Opportunistic Sensing of Human Behavior With Mobile Phones

Castro, Luís A.; Beltrán-Márquez, Jessica; Favela, Jesús; Chávez, Edgar; Pérez, Moisés; Rodríguez, Marcela D.; Navarro, René F.; Quintana, Eduardo Martín

doi:10.1002/9781118993620.ch5

Cited by 2 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Social features can be regarded as the level of engagement in a person's interactions with others, which can be used as an indicator of mental wellness [53]. Social interactions can be traced using Bluetooth, Wi-Fi or the microphone to recognize location and proximity between individuals [63]. These technologies have been used to capture movement and interaction between patients with schizophrenia, providing information regarding the way patients interact with each other as well as usability and acceptability concerns [64].…”

Section: Social Datamentioning

confidence: 99%

Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management

Gutierrez

Rabbani

Ajayi

et al. 2021

IJERPH

Self Cite

View full text Add to dashboard Cite

The increase of mental illness cases around the world can be described as an urgent and serious global health threat. Around 500 million people suffer from mental disorders, among which depression, schizophrenia, and dementia are the most prevalent. Revolutionary technological paradigms such as the Internet of Things (IoT) provide us with new capabilities to detect, assess, and care for patients early. This paper comprehensively survey works done at the intersection between IoT and mental health disorders. We evaluate multiple computational platforms, methods and devices, as well as study results and potential open issues for the effective use of IoT systems in mental health. We particularly elaborate on relevant open challenges in the use of existing IoT solutions for mental health care, which can be relevant given the potential impairments in some mental health patients such as data acquisition issues, lack of self-organization of devices and service level agreement, and security, privacy and consent issues, among others. We aim at opening the conversation for future research in this rather emerging area by outlining possible new paths based on the results and conclusions of this work.

show abstract

Section: Social Datamentioning

confidence: 99%

Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management

Gutierrez

Rabbani

Ajayi

et al. 2021

IJERPH

Self Cite

View full text Add to dashboard Cite

show abstract

“…Most of the studies in this group were descriptive. As in the frailty detection group studies, some studies asserted that the ICT employed could be used for screening and preventing frailty; however, no quantitative data were provided [5,[36][37], whereas other studies were found to monitor the evolution of the monitored variables (e.g., subject activity and frailty status, [38][39][40][41][42]) effectively.…”

Section: Technology Readiness Level Of the Ict Used To Manage Frailty In Older Adultsmentioning

confidence: 99%

Information and Communication Technologies for Managing Frailty: A Systematic Literature Review

Cruz¹,

Monsalve²,

Ladurner³

et al. 2021

Aging and disease

View full text Add to dashboard Cite

Frailty is a prevalent condition among Canadians; over one million are diagnosed as medically frail, and in the next ten years this number will double. Information and telecommunication technologies can provide a low-cost method for managing frailty more proactively. This study aims to examine the range and extent of information and telecommunication technologies for managing frailty in older adults, their technology readiness level, the evidence, and the associated outcomes. A systematic literature review was conducted. Four databases were searched for studies: Medline, EMBASE, CINAHL, and Web of Science. In total, we included 19 studies (out of 9,930) for the data abstraction. Overall, our findings indicate that (1) the proposed frailty phenotype is the most common ground truth to be used for assessing frailty; (2) the most common uses of information and telecommunication technologies for managing frailty are detection, and monitoring and detection, while interventional studies on frailty are very rare; (3) the five main types of information and telecommunication technologies for managing frailty in older adults are information and telecommunication technology-based platforms, smartphones, telemonitoring (home monitoring), wearable sensors and devices (commercial off-the-shelf), and multimedia formats for online access; (4) the technology readiness level of information and telecommunication technologies for managing frailty in older adults is the "Technology Demonstration" level, i.e., not yet ready to be operated in an actual operating environment; and (5) the level of evidence is still low for information and telecommunication technology studies that manage frailty in older adults. In conclusion, information and telecommunication technologies for managing frailty in the older adult population are not yet ready to be full-fledged technologies for this purpose.

show abstract

Collaborative Opportunistic Sensing of Human Behavior With Mobile Phones

Cited by 2 publications

References 26 publications

Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management

Internet of Things for Mental Health: Open Issues in Data Acquisition, Self-Organization, Service Level Agreement, and Identity Management

Information and Communication Technologies for Managing Frailty: A Systematic Literature Review

Contact Info

Product

Resources

About