2018 IEEE 7th Global Conference on Consumer Electronics (GCCE) 2018
DOI: 10.1109/gcce.2018.8574854
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Medication and Meal Intake Monitoring using Human-Object Interaction

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Cited by 4 publications
(8 citation statements)
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“…Not able to determine who is moving if there is more than one person living in the same house Expensive sensor Fortin-Simard et al [72] Single power analyzer placed in the electric panel Ghosh et al [63] Seint et al [64] Park et al [65] Cippitelli et al [66] Zelun et al [67] Vuegen et al [68] Rebeen et al [69] Ueda et al [70] Belley et al [71] Fortin-Simard et al [72] Fortin-Simard et al [73] Yunfei et al [76] Tsang et al [74] Charlon et al…”
Section: Hardware Implementationmentioning
confidence: 99%
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“…Not able to determine who is moving if there is more than one person living in the same house Expensive sensor Fortin-Simard et al [72] Single power analyzer placed in the electric panel Ghosh et al [63] Seint et al [64] Park et al [65] Cippitelli et al [66] Zelun et al [67] Vuegen et al [68] Rebeen et al [69] Ueda et al [70] Belley et al [71] Fortin-Simard et al [72] Fortin-Simard et al [73] Yunfei et al [76] Tsang et al [74] Charlon et al…”
Section: Hardware Implementationmentioning
confidence: 99%
“…Analysis of the video recorded by these sensors can identify different ADLs such as cooking, eating meals, drinking, falling, etc. While RGB cameras are standard for the video scene recorded by the researchers [64], this type of sensor is sensitive to light and thus degrades the performance of the ADL recognition. In addition, the captured video contains too much information that may raise privacy issues for the monitored person and lead to their refusal to use it [12].…”
Section: Non-wearable Sensorsmentioning
confidence: 99%
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“…End-of-life care needs are increasing due to growing age-related challenges [1]. One of the side effects of population aging is the widespread impact of many chronic diseases and conditions [2].…”
Section: Introductionmentioning
confidence: 99%