Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Wearable hybrid device capable of interactive perception with pressure sensing and visualization
A wearable interactive device that can synchronously detect and visualize pressure, stimuli
will supplement easily identifiable in situ signals with conventional sensing that outputs only …
will supplement easily identifiable in situ signals with conventional sensing that outputs only …
Wearable, epidermal devices for assessment of swallowing function
Swallowing is an ensemble of voluntary and autonomic processes key to maintaining our
body's homeostatic balance. Abnormal swallowing (dysphagia) can cause dehydration …
body's homeostatic balance. Abnormal swallowing (dysphagia) can cause dehydration …
Future directions for integrative objective assessment of eating using wearable sensing technology
Established methods for nutritional assessment suffer from a number of important limitations.
Diaries are burdensome to complete, food frequency questionnaires only capture average …
Diaries are burdensome to complete, food frequency questionnaires only capture average …
Smartwatch-based eating detection: Data selection for machine learning from imbalanced data with imperfect labels
Understanding people's eating habits plays a crucial role in interventions promoting a
healthy lifestyle. This requires objective measurement of the time at which a meal takes …
healthy lifestyle. This requires objective measurement of the time at which a meal takes …
AI-assisted food intake activity recognition using 3D mmWave radars
YH Wu, Y Chen, S Shirmohammadi… - Proceedings of the 7th …, 2022 - dl.acm.org
The automatic recognition of when and for how long a person is eating a certain food or
drinking has applications in telecare, smarthome data monetization, and diet control …
drinking has applications in telecare, smarthome data monetization, and diet control …
[HTML][HTML] Deep learning–based multimodal data fusion: Case study in food intake episodes detection using wearable sensors
Background: Multimodal wearable technologies have brought forward wide possibilities in
human activity recognition, and more specifically personalized monitoring of eating habits …
human activity recognition, and more specifically personalized monitoring of eating habits …
[HTML][HTML] Overview of objective measurement technologies for nutrition research, food-related consumer and marketing research
Background Despite their reliability-and validity-related challenges, self-reports remain the
most common data collection method in nutrition research, food-related consumer and …
most common data collection method in nutrition research, food-related consumer and …
Detecting eating episodes from wrist motion using daily pattern analysis
Z Tang, A Patyk, J Jolly, SP Goldstein… - IEEE journal of …, 2023 - ieeexplore.ieee.org
This paper presents new methods to detect eating from wrist motion. Our main novelty is that
we analyze a full day of wrist motion data as a single sample so that the detection of eating …
we analyze a full day of wrist motion data as a single sample so that the detection of eating …
A novel peak detection algorithm using particle swarm optimization for chew count estimation of a contactless chewing detection
This article uses a proximity sensor to perform noncontact-based (sensing) chewing activity
detection, capturing the temporalis muscle movement during food intake. The proposed …
detection, capturing the temporalis muscle movement during food intake. The proposed …
[HTML][HTML] Technology to automatically record eating behavior in real life: A systematic review
To monitor adherence to diets and to design and evaluate nutritional interventions, it is
essential to obtain objective knowledge about eating behavior. In most research, measures …
essential to obtain objective knowledge about eating behavior. In most research, measures …