A5010983252- Eating Disorders and Behaviors
- Behavioral Health and Interventions
- Behavioral and Psychological Studies
- Sensory Analysis and Statistical Methods
- Augmented Reality Applications
- Tactile and Sensory Interactions
- Diabetes Management and Education
- Mobile Health and mHealth Applications
- Olfactory and Sensory Function Studies
- Teleoperation and Haptic Systems
- Diabetes Management and Research
- Digital Innovation in Industries
- Evolutionary Psychology and Human Behavior
- Nutritional Studies and Diet
- Water Quality Monitoring Technologies
- Consumer Behavior in Brand Consumption and Identification
- Advanced Image and Video Retrieval Techniques
- Virtual Reality Applications and Impacts
- Body Image and Dysmorphia Studies
- Context-Aware Activity Recognition Systems
- Biosensors and Analytical Detection
- Cultural Differences and Values
Salzburg University of Applied Sciences
2014-2022
Background: Imprecise carbohydrate counting as a measure to guide the treatment of diabetes may be source errors resulting in problems glycemic control. Exact measurements can tedious, leading most patients estimate their intake. In presented pilot study smartphone application (BE AR ), that guides estimation amounts carbohydrates, was used by group diabetic patients. Methods: Eight adult with mellitus type 1 were recruited for study. At beginning introduced BE sessions lasting 45 minutes...
Abstract Most tasks for measuring automatic approach–avoidance tendencies do not resemble naturalistic behaviors. Therefore, we developed a paradigm the assessment of towards palatable food, which is based on arm and hand movements touchscreen, thereby mimicking real-life grasping or warding movements. In Study 1 ( n = 85), an approach bias chocolate-containing foods was found when participants reached stimuli, but these stimuli had to be moved touchscreen. This food observed in grab...
Increased levels of interactivity and multi-sensory stimulation have been shown to enhance the immersion Virtual Reality experiences. We present AirRes mask that enables users utilize their breathing for precise natural interactions with virtual environment without suffering from limitations sensing equipment such as motion artifacts. Furthermore, provides resistance novel output modality can be adjusted in real-time by application. In a user study, we demonstrate mask's precision...
Background Repeatedly pushing high-calorie food stimuli away based on joystick movements has been found to reduce approach biases toward these stimuli. Some studies also that such avoidance training reduced consumption of foods. Objective This study aimed test effects a smartphone-based approach-avoidance intervention chocolate craving and consumption, make interventions suitable for daily use. Methods Within 10-day period, regular eaters (n=105, 86% female) performed five sessions during...
Accurate assessment of nutrition information is an important part in the prevention and treatment a multitude diseases, but remains challenging task. We present novel mobile augmented reality application, which assists users their meals. Using realtime camera image as guide, user overlays 3D form food. Additionally selects food type. The corresponding automatically computed. Thus accurate volume estimation required for assessment. This work presents evaluation our approaches portion offers...
Nutrition is an important factor in the prevention and treatment of many diseases. a key for obesity, which risk cardio-vascular diseases, type-2 diabetes even cancer. Many non-communicable diseases require patients to keep track nutrition accurately. Diabetes type-1 tracking carbohydrate intake However, keeping determining information everyday life not easy task support needed. Recently, mobile devices with depth sensors have been available consumer market apps using this new technology...
The accurate assessment of nutrition information is a challenging task, but crucial for people with certain diseases, such as diabetes. An important part the portion estimation, i.e. volume estimation. Given and food type, can be computed on basis type specific density. Recently mobile devices depth sensors have been made available public (Google's project tango platform). In this work, an app sensor presented which assists users in Furthermore, we present design user study preliminary results.
Accurate assessment of nutrition information is an important part in the prevention and treatment a multitude diseases, but remains challenging task. We present novel mobile augmented reality application, which assists users their meals. The user sketches 3D form food selects type. corresponding automatically computed.
<sec> <title>BACKGROUND</title> Repeatedly pushing high-calorie food stimuli away based on joystick movements has been found to reduce approach biases toward these stimuli. Some studies also that such avoidance training reduced consumption of foods. </sec> <title>OBJECTIVE</title> This study aimed test effects a smartphone-based approach-avoidance intervention chocolate craving and consumption, make interventions suitable for daily use. <title>METHODS</title> Within 10-day period, regular...