Recognition System for Ergonomic Mattress and Pillow: Design and Fabrication

Moshayedi, Ata Jahangir; Hosseinzadeh, Maziar; Joshi, Bhagyashree; Andani, Mehran Emadi

doi:10.1080/03772063.2022.2163927

Cited by 10 publications

(9 citation statements)

References 47 publications

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“…For instance, an intelligent closetool can detect urine levels and monitor heart rate, body fat, and the length of time spent on the toilet [ 21 ]. Additionally, an intelligent mattress and pillow monitor heart rate, respiration rate, and body movement frequency during sleep [ 22 , 23 ]. Applications such as those for fall detection in the bathroom and the amount of stillness in daily activities can trigger an automatic alarm for an emergency, which connects to the hospital [ 24 ].…”

Section: Characteristics Of the Shwmentioning

confidence: 99%

An Introduction to Smart Home Ward–Based Hospital-at-Home Care in China

Cheng,

Cao,

Lian

et al. 2024

JMIR Mhealth Uhealth

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Hospital-at-home has been gaining increased attention as a potential remedy for the current shortcomings of our health care system, allowing for essential health services to be provided to patients in the comfort of their own homes. The advent of digital technology has revolutionized the way we provide medical and health care, leading to the emergence of a “hospital without walls.” The rapid adoption of novel digital health care technologies is revolutionizing remote health care provision, effectively dismantling the conventional boundary separating hospitals from the comfort of patients’ homes. The Guangdong Second Provincial General Hospital has developed a 5G-powered Smart Home Ward (SHW) that extends medical care services to the home setting and is tailored to meet the needs and settings of each patient’s household. The SHW was initially tested for its suitability for treating 4 specialized diseases, including cardiovascular disease, stroke, Parkinson disease, and Alzheimer disease. Understanding and addressing the potential challenges and risks associated with SHWs is essential for the successful implementation and maintenance of safe and effective home hospitalization.

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Section: Characteristics Of the Shwmentioning

confidence: 99%

An Introduction to Smart Home Ward–Based Hospital-at-Home Care in China

Cheng,

Cao,

Lian

et al. 2024

JMIR Mhealth Uhealth

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“…Table 1 presents a comprehensive comparison between the proposed design and other existing designs. The hardware components employed in this system comprise a GSM module, GPS module, and Arduino board [19], fingerprint sensor, display, and electronic relay with a junction box. The research indicates that this design enables multiple individuals to have access and control over the device's operation without necessarily being physically close to the device.…”

Section: Reviewmentioning

confidence: 99%

The Role of Biometric in Banking: A Review

Marani,

Soltani,

Bahadori

et al. 2023

EAI Endorsed Trans AI Robotics

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Biometrics plays a pivotal role in enhancing security, ensuring accurate identification, and offering convenient solutions across diverse industries. Its uniqueness, reliability, and potential for future advancements establish it as a crucial and valuable field in today's digital landscape. Fingerprint authentication in ATMs presents primary advantages such as heightened security through distinctive identification and user convenience by eliminating the reliance on PINs or passwords. This research paper focuses on conducting a comprehensive review and comparative analysis of various approaches for fingerprint identification, aiming to contribute to the understanding of effective and efficient methods in the context of ATM authentication.

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“…The overarching goal is to achieve sub-linear memory usage, revolutionizing the robot's perception capabilities. By adeptly comprehending its surroundings, the robot gains a remarkable edge, paving the way for transformative advancements in real-world robotic applications [20][21][22][23][24][25]. Furthermore, while our research focuses on the practical implementation and optimization of robotic algorithms, it is crucial to acknowledge the complementary role of theoretical research in other fields [26][27][28].…”

Section: Motivationmentioning

confidence: 99%

Advancing Robot Perception in Non-Spiral Environments through Camera-based Image Processing

Hoorfar,

Bagheri

2023

EAI Endorsed Trans AI Robotics

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Robot perception heavily relies on camera-based visual input for navigating and interacting in its environment. As robots become integral parts of various applications, the need to efficiently compute their visibility regions in complex environments has grown. The key challenge addressed in this paper is to devise an innovative solution that not only accurately computes the visibility region V of a robot operating in a polynomial environment but also optimizes memory utilization to ensure real-time performance and scalability.The main objective of this research is to propose an algorithm that achieves optimal-time complexity and significantly reduces memory requirements for visibility region computation. By focusing on sub-linear memory utilization, we aim to enhance the robot's ability to perceive its surroundings effectively and efficiently.Previous approaches have provided solutions for visibility region computation in non-spiral environments, but most were not tailored to memory limitations. In contrast, the proposed algorithm is designed to achieve optimal time complexity that is O(n) while reducing memory usage to O(c/log n) variables, where c < n represents the number of critical corners in the environment. Leveraging the constant-memory model and memory-constrained algorithm, we aim to strike a balance between computational efficiency and memory usage.The algorithm's performance is rigorously evaluated through extensive simulations and practical experiments. The results demonstrate its linear-time complexity and substantial reduction in memory usage without compromising the accuracy of the visibility region computation. By efficiently handling memory constraints, the robot gains a cost-effective and reliable perception mechanism, making it well-suited for a wide range of real-world applications.The constant-memory model and memory-constrained algorithm presented in this paper offer a significant advancement in robot perception capabilities. By optimizing the visibility region computation in polynomial environments, our approach contributes to the efficient operation of robots, enhancing their performance and applicability in complex real-world scenarios. The results of this research hold promising potential for future developments in robotics, computer vision, and related fields.

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Recognition System for Ergonomic Mattress and Pillow: Design and Fabrication

Cited by 10 publications

References 47 publications

An Introduction to Smart Home Ward–Based Hospital-at-Home Care in China

An Introduction to Smart Home Ward–Based Hospital-at-Home Care in China

The Role of Biometric in Banking: A Review

Advancing Robot Perception in Non-Spiral Environments through Camera-based Image Processing

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