Smart bottle work design using waterflow sensor based on Raspberry Pi and Android

Akbar, Arminditya Fajri; Oktivasari, Prihatin

doi:10.1088/1742-6596/1193/1/012007

Cited by 2 publications

(4 citation statements)

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“…Pankajavalli et al used a water float sensor based on a magnetic field that contacts the water and sends a text message when the level is low and high, but this technique was not tested by human participants [ 149 ]. Akbar and Oktivasari used float sensors based on the Hall Effect concept to measure the amount of water consumed [ 131 ]. This device can provide the amount of daily water required based on a user’s profile [ 131 ].…”

Section: Smart Containersmentioning

confidence: 99%

“…Akbar and Oktivasari used float sensors based on the Hall Effect concept to measure the amount of water consumed [ 131 ]. This device can provide the amount of daily water required based on a user’s profile [ 131 ]. The system had an average error of 1.1% with a maximum error of 2% [ 131 ].…”

Section: Smart Containersmentioning

confidence: 99%

“…This device can provide the amount of daily water required based on a user’s profile [ 131 ]. The system had an average error of 1.1% with a maximum error of 2% [ 131 ]. This involved placing a sensor on the outside of wall of the container, shown in Figure 4 h.…”

Section: Smart Containersmentioning

confidence: 99%

“… Schematic diagram of various sensor layouts for each smart container category, namely ( a ) inertial [ 120 , 121 , 122 , 123 , 124 ], ( b ) load and pressure [ 125 ], ( c ) capacitive [ 126 ], ( d ) conductive [ 127 ], ( e ) Wi-Fi [ 128 ], ( f ) vibration [ 129 ], ( g ) acoustic [ 130 ], ( h ) and other level sensor [ 131 ]. …”

Section: Figurementioning

confidence: 99%

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Fluid Intake Monitoring Systems for the Elderly: A Review of the Literature

2021

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Fluid intake monitoring is an essential component in preventing dehydration and overhydration, especially for the senior population. Numerous critical health problems are associated with poor or excessive drinking such as swelling of the brain and heart failure. Real-time systems for monitoring fluid intake will not only measure the exact amount consumed by the users, but could also motivate people to maintain a healthy lifestyle by providing feedback to encourage them to hydrate regularly throughout the day. This paper reviews the most recent solutions to automatic fluid intake monitoring both commercially and in the literature. The available technologies are divided into four categories: wearables, surfaces with embedded sensors, vision- and environmental-based solutions, and smart containers. A detailed performance evaluation was carried out considering detection accuracy, usability and availability. It was observed that the most promising results came from studies that used data fusion from multiple technologies, compared to using an individual technology. The areas that need further research and the challenges for each category are discussed in detail.

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Section: Smart Containersmentioning

confidence: 99%