The 4th International Conference on Electronics, Communications and Control Engineering 2021
DOI: 10.1145/3462676.3462684
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Graphical User Interface (GUI) Based on the Association of Contextual Cues to Support the Taking of Medications in Older Adults

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Cited by 2 publications
(3 citation statements)
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“…The 'tkinter' library is imported to enable the use of labels, inputs, and buttons in the user interface, as illustrated in Figure 7. This iterative algorithm generates a dynamic set of buttons and textboxes, allowing users to input their personal data [12], medication information, caregiver's cell phone number, intake start time, and intake intervals. This user-friendly interface enhances the system's versatility and ease of customization, making it a valuable tool for individualized data management.…”
Section: Interface Programming 251 Data Registermentioning
confidence: 99%
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“…The 'tkinter' library is imported to enable the use of labels, inputs, and buttons in the user interface, as illustrated in Figure 7. This iterative algorithm generates a dynamic set of buttons and textboxes, allowing users to input their personal data [12], medication information, caregiver's cell phone number, intake start time, and intake intervals. This user-friendly interface enhances the system's versatility and ease of customization, making it a valuable tool for individualized data management.…”
Section: Interface Programming 251 Data Registermentioning
confidence: 99%
“…However, most dispensers focus only on the recognition of medications to support the patient when selecting the correct container or pill at the time of consumption, but leave aside the authentication of medication consumption, which means that it is not possible to know if the patient has consumed the medication as the first antecedent or only takes into account the position of the hand to determine the consumption of the medication, which can generate low accuracy, since there are several activities with which the intake of medication can be confused, such as yawning, stretching or waving [11] and there is also no system for sending photos to the caregiver or family member so that they can verify whether the intake was performed correctly, as in the second antecedent. In addition, both antecedents do not have an interactive system in the same dispenser that allows them to stimulate the memory of patients [12], so the mentioned limitations can be reduced by adding a system of authentication of medication consumption that is based on the recognition of postures using OpenPose and super vector machine (SVM) for the capture of the posture and subsequent sending of the captured image by WhatsApp message to the caregiver so that he can evaluate the information regarding the consumption of the medication. This research is subdivided as follows: section 2, which deals with methods and materials, is focused on explaining the setup and operation of the drug dispenser in conjunction with the use of system programming for the use of machine vision, messaging and IoT all in conjunction.…”
Section: Introductionmentioning
confidence: 99%
“…An alternative, more effective source of motivation to adhere to meditation practice could be contextual cues, such as routine events, locations, and meaningful objects [32][33][34][35], the role of which has been extensively studied in the context of health-related habits (e.g., medication adherence [36][37][38], addiction [39][40][41], dietary behaviors [21,42], and physical activity [42,43]). Although contextual cues initially function as reminders, consistent reinforcement of cue-behavior associations eventually leads to automatic triggering of the behavior [44,45].…”
Section: Introductionmentioning
confidence: 99%