Add to ORKGIn this work, we propose the use of a glasses mounted accelerometer to detect chewing motion in the elderly. Data from 13 elderly was collected during their daily meals. This data is used to evaluate a k-Nearest Neighbor classifier.status: publishe
The majority of older people wish to live independently at home as long as possible despite having a...
Aging adults experience gradual structural changes in nerve and muscle tissues that impair their abi...
Monitoring of human eating behaviour has been attracting interest over the last few years, as a mean...
A novel way to detect food intake events using a wearable accelerometer is presented in this paper. ...
Food intake monitoring can play an important role in the prevention of malnutrition among older adul...
Unhealthy dietary habits (such as eating disorders, eating too fast, excessive energy intake, and ch...
Wearable motion tracking sensors are now widely used to monitor physical activity, and have recently...
Monitoring of eating behavior using wearable technology is receiving increased attention, driven by ...
Eating difficulties and the subsequent need for eating assistance are a prevalent issue within the e...
International audienceChewing efficiency may affect nutritional status in the elderly. Many elderly ...
in pressInternational audienceExisting surveillance systems for older people activity analysis are f...
Elderly activity detection is one of the significant applications in machine learning. A supportive ...
Tracking food intake provides a valuable source of information to gain insights in dietary habits fo...
By 2050 two billion people will be aged 60 or older representing 22% of the global population. As th...
In the context of dietary management, accurate monitoring of eating habits is receiving increased at...
The majority of older people wish to live independently at home as long as possible despite having a...
Aging adults experience gradual structural changes in nerve and muscle tissues that impair their abi...
Monitoring of human eating behaviour has been attracting interest over the last few years, as a mean...
A novel way to detect food intake events using a wearable accelerometer is presented in this paper. ...
Food intake monitoring can play an important role in the prevention of malnutrition among older adul...
Unhealthy dietary habits (such as eating disorders, eating too fast, excessive energy intake, and ch...
Wearable motion tracking sensors are now widely used to monitor physical activity, and have recently...
Monitoring of eating behavior using wearable technology is receiving increased attention, driven by ...
Eating difficulties and the subsequent need for eating assistance are a prevalent issue within the e...
International audienceChewing efficiency may affect nutritional status in the elderly. Many elderly ...
in pressInternational audienceExisting surveillance systems for older people activity analysis are f...
Elderly activity detection is one of the significant applications in machine learning. A supportive ...
Tracking food intake provides a valuable source of information to gain insights in dietary habits fo...
By 2050 two billion people will be aged 60 or older representing 22% of the global population. As th...
In the context of dietary management, accurate monitoring of eating habits is receiving increased at...
The majority of older people wish to live independently at home as long as possible despite having a...
Aging adults experience gradual structural changes in nerve and muscle tissues that impair their abi...
Monitoring of human eating behaviour has been attracting interest over the last few years, as a mean...