Short on Time? Context-Aware Shopping Lists to the Rescue: an Experimental Evaluation of a Smart Shopping Cart

Hove, Stephanie Van; All, Anissa; Marez, Lieven De

doi:10.1109/qomex.2019.8743269

Cited by 4 publications

(4 citation statements)

References 32 publications

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“…The assembly of all previously completed components is applied to the actual system during the implementation stage. The stages of implementation are listed below, and they will be explained in the system process that follows [20].…”

Section: Methodsmentioning

confidence: 99%

Remote-Controlled Bluetooth-Enabled Smart Shopping Cart: Prototype and Evaluation

Ritzkal,

Prakosa,

Munandar

et al. 2023

ISI

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In an endeavor to enhance consumer experience and streamline the shopping process, this study presents the design and evaluation of a smart shopping cart prototype, devised to replace conventional manual shopping carts. Customers traditionally utilize baskets to transport purchased goods to the cashier for payment processing. During peak shopping hours, queues often form, potentially detracting from the customer's overall shopping experience. Customers are typically obliged to stand adjacent to their baskets to maintain their position in the queue, a practice this innovation intends to eliminate. The proposed smart shopping cart employs Bluetooth HC-05 technology to facilitate remote operation, thereby enabling users to wait at a comfortable distance from their groceries. The remote control for the cart is designed to interface with Android smartphones, capitalizing on the ubiquity of these devices in customers' daily lives. The ease of connecting Bluetooth HC-05 with an Android device further simplifies the operation for users well-versed with smartphones. This study outlines the construction and testing of a smart shopping cart prototype, although it has not been directly implemented in a supermarket setting. The conducted tests are representative of the performance of a potential full-scale model. The remote control application, tailored to the specific commands required by the shopping cart, was developed using Kodular. It can be easily accessed and downloaded from the Kodular website.

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Section: Methodsmentioning

confidence: 99%

Remote-Controlled Bluetooth-Enabled Smart Shopping Cart: Prototype and Evaluation

Ritzkal,

Prakosa,

Munandar

et al. 2023

ISI

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“…Smart grocery store have been widely investigated in the literature [55] , [58] , [59] , [60] , [61] . IoT along with AI technologies can help slow the spread of infection by enforcing prevention and detection mechanisms through connected sensors in a smart grocery store.…”

Section: Future Smart Connected Ecosystem and Technological Solutionsmentioning

confidence: 99%

Future Smart Connected Communities to Fight COVID-19 Outbreak

et al. 2021

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Internet of Things (IoT) has grown rapidly in the last decade and continue to develop in terms of dimension and complexity, offering wide range of devices to support diverse set of applications. With ubiquitous Internet, connected sensors and actuators, networking and communication technology along with artificial intelligence (AI), smart cyber-physical systems (CPS) provide services rendering assistance and convenience to humans in their daily lives. However, the recent outbreak of COVID-19 (also known as coronavirus) pandemic has exposed and highlighted the limitations of contemporary technological deployments especially to contain the wide spread of this disease. IoT and smart connected technologies together with data-driven applications can play a crucial role not only in the prevention, mitigation or continuous remote monitoring of patients, but also enable prompt enforcement of guidelines, rules and administrative orders to contain such future outbreaks. In this paper, we envision an IoT and data supported connected ecosystem designed for intelligent monitoring, pro-active prevention and control, and mitigation of COVID-19 and similar epidemics. We propose a gamut of synergistic applications and technology systems for various smart infrastructures including E-Health, smart home, supply chain management, transportation, and city, which will work in convergence to develop ‘pandemic-proof’ future smart communities. We also present a generalized cloud-enabled IoT implementation framework along with scientific solutions, which can be adapted and extended to deploy smart connected ecosystem scenarios using widely used Amazon Web Services (AWS) cloud infrastructures. In addition, we also implement an E-Health RPM use case scenario to demonstrate the need and practicality for smart connected communities. Finally, we highlight challenges and research directions which need thoughtful consideration and across the board cooperation among stakeholders to build resilient communities against future pandemics.

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“…Smart grocery store have been widely investigated in the literature [35,[38][39][40][41][42]. IoT along with AI and ML technologies can help slow the spread of infection by enforcing prevention and detection mechanisms through connected sensor devices in a smart grocery store.…”

Section: Smart Grocery Storementioning

confidence: 99%

“…when sensor will sense the presence of infected person in the area through notifications from the locality cloud-1. Coronavirus-linked fatalities at nursing homes and other long-term care facilities in the U.S. have surpassed 10,000 in New York, according to news report 39 . Japan's artificial intelligence expertise 40 is transforming the elder care industry, with niche robotic caregiving accomplishing more than just taking pressure off the critical shortage of caregivers.…”

Section: Smart Neighborhoodmentioning

confidence: 99%

Future Smart Connected Communities to Fight COVID-19 Outbreak

Gupta¹,

Bhatt²,

Gupta³

et al. 2020

Preprint

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Internet of Things (IoT) has grown rapidly in the last decade and continue to develop in terms of dimension and complexity offering wide range of devices to support diverse set of applications. With ubiquitous Internet, connected sensors and actuators, networking and communication technology, and artificial intelligence (AI), smart cyber-physical systems (CPS) provide services rendering assistance to humans in their daily lives. However, the recent outbreak of COVID-19 (also known as coronavirus) pandemic has exposed and highlighted the limitations of current technological deployments to curtail this disease. IoT and smart connected technologies together with data-driven applications can play a crucial role not only in prevention, continuous monitoring, and mitigation of the disease, but also enable prompt enforcement of guidelines, rules and government orders to contain such future outbreaks. In this paper, we envision an IoT-enabled ecosystem for intelligent monitoring, proactive prevention and control, and mitigation of COVID-19. We propose different architectures, applications and technology systems for various smart infrastructures including E-health, smart home, smart supply chain management, smart locality, and smart city, to develop future connected communities to manage and mitigate similar outbreaks. Furthermore, we present research challenges together with future directions to enable and develop these smart communities and infrastructures to fight and prepare against such outbreaks.

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Short on Time? Context-Aware Shopping Lists to the Rescue: an Experimental Evaluation of a Smart Shopping Cart

Cited by 4 publications

References 32 publications

Remote-Controlled Bluetooth-Enabled Smart Shopping Cart: Prototype and Evaluation

Remote-Controlled Bluetooth-Enabled Smart Shopping Cart: Prototype and Evaluation

Future Smart Connected Communities to Fight COVID-19 Outbreak

Future Smart Connected Communities to Fight COVID-19 Outbreak

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