An Ambient Assisted Living Monitoring System for Activity Recognition – Results from the First Evaluation Stages

Chiriac, Sebastian; Rosales, Bruno

doi:10.1007/978-3-642-27491-6_2

Cited by 11 publications

(5 citation statements)

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“…The study concept [17] shows that only one dedicated carer is considered for the support of each test person. Due to the constraints we derived an interview guideline with approximately 80 questions.…”

Section: Methodsmentioning

confidence: 99%

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Towards combining validation concepts for short and long-term ambient health monitoring

Chiriac¹,

Röll²,

Parada³

et al. 2012

Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare

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Existing health monitoring systems detect either acute health issues or long-term deterioration of health. This paper presents a validation concept for sensors and algorithms that detect emergencies and monitor long term health development. The reviewed ambient monitoring system combines a short term rule based and a long term scoring approach that are validated in a study with 100 households. The resulting dataset is complemented by diaries and participation of care givers. Care givers monitor the health state through questionnaires and by rating generated alerts and warnings. The validation benefits from this multilateral approach and points towards a further integration of long and short-term monitoring.

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Section: Methodsmentioning

confidence: 99%

“…Therefore we analyzed two commonly used assessment instruments, the Resident Assessment Instrument and the Comprehensive Geriatric Assessment. We targeted the question of usability in our study setup [17].…”

Section: ) Long-term: Health Assessmentmentioning

confidence: 99%

Towards combining validation concepts for short and long-term ambient health monitoring

Chiriac¹,

Röll²,

Parada³

et al. 2012

Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare

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“…The estimated life cycle of an energy harvesting module is above 5 years. In a survey, it has been observed that some energy harvesting units are working smoothly from the last 15 years without hardware degradation [25]. Thus, regular hardware servicing is not required in inaccessible locations.…”

Section: Potentialsmentioning

confidence: 99%

Energy Harvesting Technology for IoT Edge Applications

Sharma¹

2021

Smart Manufacturing - When Artificial Intelligence Meets the Internet of Things

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The integration of energy harvesting technologies with Internet of things (IoTs) leads to the automation of building and homes. The IoT edge devices, which include end user equipment connected to the networks and interact with other networks and devices, may be located in remote locations where the main power is not available or battery replacement is not feasible. The energy harvesting technologies can reduce or eliminate the need of batteries for edge devices by using super capacitors or rechargeable batteries to recharge them in the field. The proposed chapter provides a brief discussion about possible energy harvesting technologies and their potential power densities and techniques to minimize power requirements of edge devices, so that energy harvesting solutions will be sufficient to meet the power requirements.

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“…One example solution for the use of this technology would be a household equipped with sensors and actors that monitors a situation in which a person falls down. In the case of an emergency, the technology can automatically alarm relatives or an emergency physician (Chiriac & Rosales, 2012). Moreover, these in-home technologies may have an influence on communication toward the elderly and could strengthen personal relationships (Huber et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Personal Remote Assistance in Ambient Assisted Living—Experimental Research of Elderly People’s Trust and Their Intention to Use

Steinke

Ingenhoff

Fritsch

2014

International Journal of Human-Computer Interaction

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The objective of this article is to analyze the meaning of two different support functions regarding the use of Ambient Assisted Living (AAL). Thirty-two older persons (M age = 69.84, SD = 6.31) and a younger control group (n = 21; M age = 24.71, SD = 2.10) were examined in an experiment with three different tasks using a tablet computer. The first group operated with a mock-up that provided personal remote assistance (PRA) and the second group with one that provided embedded technical assistance (ETA). The main results show that older participants with PRA solve significantly more tasks than people with ETA. Moreover, a significant influence of perceived ease of use with PRA is revealed. Multiple regressions in the senior sample highlight a significant connection between trust in AAL technology and perceived reliability as well as perceived ease of use. No significant correlation between the type of assistance and older persons' trust, as well as an intention to use AAL, was found.

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An Ambient Assisted Living Monitoring System for Activity Recognition – Results from the First Evaluation Stages

Cited by 11 publications

References 0 publications

Towards combining validation concepts for short and long-term ambient health monitoring

Towards combining validation concepts for short and long-term ambient health monitoring

Energy Harvesting Technology for IoT Edge Applications

Personal Remote Assistance in Ambient Assisted Living—Experimental Research of Elderly People’s Trust and Their Intention to Use

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