Monitoring Indoor Activity of Daily Living using Thermal Imaging: A Case Study

Ahmed, Hassan M.; Abdulrazak, Bessam

doi:10.14569/ijacsa.2021.0120902

Cited by 3 publications

References 16 publications

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Drug Intervention Follow up with Internet of Things: A Case Study

Ahmed,

Maraoui,

Abdulrazak

et al. 2023

Lecture Notes in Computer Science

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Advancements on the Internet of Things (IoT) have enabled the development of advanced monitoring systems that can track human behavior and vital signs in real-time, which can have a real impact in the way healthcare is provided. This paper presents a system implementation to monitor and analyze a subject's behavior changes over time using IoT, with the objective of detecting the impact of an inhibitor drug on the subject's activity levels. In this research we present a case study by which we showed it is possible to follow the effect of an anticholinergic drug by means of an unobtrusive IoT system. We have monitored the physical activity of a subject in his residence for seven consecutive months to study the effect of the inhibiting drug doses introduced at three known specific timestamps. Following, we compared our detection results for the subject’s physical activity change timestamps with the medical staff medication doses timestamps. Our results show that we can detect the physical activity change at close timestamps compared to those indicated by the medical staff.

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Drug Intervention Follow up with Internet of Things: A Case Study

Ahmed,

Maraoui,

Abdulrazak

et al. 2023

Lecture Notes in Computer Science

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Thermal Imaging in Robotics as a Privacy-Enhancing or Privacy-Invasive Measure? Misconceptions of Privacy when Using Thermal Cameras in Robots

Lintvedt

2023

DISO

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This article examines the use of thermal imaging in human–robot interactions and its implications for privacy. Thermal imaging is used in robotics research to conceal the identity of individuals by masking identifiable information, such as facial details. The assumption is that by removing clear facial images, individuals become unidentifiable, thus protecting their privacy. However, the definition of personal data does not require information to be linked to a visual observation of a person. Removing the facial image of a person does not exclude the information from being personal data. However, thermal imaging can reveal personal information that is hidden from view. The article argues that privacy in robotics research is often limited to informational privacy and neglects other dimensions of privacy. It emphasises the need for a broader understanding of privacy in the context of robotics, considering the physical embodiment and data processing capabilities of robots. The conclusion of the article suggests that thermal imaging should not be automatically assumed to be more privacy-preserving than regular RGB cameras. It emphasises the importance of understanding personal data and the specific purposes of robot functions when choosing between different sensors. The article calls for a comprehensive approach to privacy in human–robot interaction, taking into account the broader impact of invasive technologies.

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IoT in medical diagnosis: detecting excretory functional disorders for Older adults via bathroom activity change using unobtrusive IoT technology

Abdulrazak,

Mostafa Ahmed,

Aloulou

et al. 2023

Front. Public Health

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The Internet of Things (IoT) and Artificial Intelligence (AI) are promising technologies that can help make the health system more efficient, which concurrently can be particularly useful to help maintain a high quality of life for older adults, especially in light of healthcare staff shortage. Many health issues are challenging to manage both by healthcare staff and policymakers. They have a negative impact on older adults and their families and are an economic burden to societies around the world. This situation is particularly critical for older adults, a population highly vulnerable to diseases that needs more consideration and care. It is, therefore, crucial to improve diagnostic and management as well as proposed prevention strategies to enhance the health and quality of life of older adults. In this study, we focus on detecting symptoms in early stages of diseases to prevent the deterioration of older adults' health and avoid complications. We focus on digestive and urinary system disorders [mainly the Urinary Tract Infection (UTI) and the Irritable Bowel Syndrome (IBS)] that are known to affect older adult populations and that are detrimental to their health and quality of life. Our proposed approach relies on unobtrusive IoT and change point detections algorithms to help follow older adults' health status daily. The approach monitors long-term behavior changes and detects possible changes in older adults' behavior suggesting early onsets or symptoms of IBS and UTI. We validated our approach with medical staff reports and IoT data collected in the residence of 16 different older adults during periods ranging from several months to a few years. Results are showing that our proposed approach can detect changes associated to symptoms of UTI and IBS, which were confirmed with observations and testimonies from the medical staff.

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Monitoring Indoor Activity of Daily Living using Thermal Imaging: A Case Study

Cited by 3 publications

References 16 publications

Drug Intervention Follow up with Internet of Things: A Case Study

Drug Intervention Follow up with Internet of Things: A Case Study

Thermal Imaging in Robotics as a Privacy-Enhancing or Privacy-Invasive Measure? Misconceptions of Privacy when Using Thermal Cameras in Robots

IoT in medical diagnosis: detecting excretory functional disorders for Older adults via bathroom activity change using unobtrusive IoT technology

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