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Edward Sazonov
University of Alabama
EngineeringWearable computerPattern recognitionComputer visionComputer science
147Publications
27H-index
2,534Citations
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Publications 151
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This paper presents wearable sensors for detecting differences in chewing strength while eating foods with different hardness (carrot as a hard, apple as moderate and banana as soft food). Four wearable sensor systems were evaluated. They were: (1) a gas pressure sensor measuring changes in ear pressure proportional to ear canal deformation during chewing, (2) a flexible, curved bend sensor attached to right temple of eyeglass measuring the contraction of the temporalis muscle, (3) a piezoelectr...
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#1Modou L Jobarteh (Imperial College London)
#2Megan A. McCrory (BU: Boston University)H-Index: 45
Last. Matilda Steiner-Asiedu (University of Ghana)H-Index: 7
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Malnutrition is a major concern in low the full extent of nutritional deficiencies remains unknown largely due to lack of accurate assessment methods. This study seeks to develop and validate an objective, passive method of estimating food and nutrient intake in households in Ghana and Uganda. Household members (including under-5s and adolescents) are assigned a wearable camera device to capture images of their food intake during waking hours. Using custom software, images captured are then used...
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#1Masudul H. ImtiazH-Index: 3
view all 5 authors...
Globally, cigarette smoking is widespread among all ages, and smokers struggle to quit. The design of effective cessation interventions requires an accurate and objective assessment of smoking frequency and smoke exposure metrics. Recently, wearable devices have emerged as a means of assessing cigarette use. However, wearable technologies have inherent limitations, and their sensor responses are often influenced by wearers’ behavior, motion and environmental factors. This paper presents a system...
1 CitationsSource
#1Tonmoy Ghosh (UA: University of Alabama)H-Index: 6
#2Edward Sazonov (UA: University of Alabama)H-Index: 27
Last. Paula C. Chandler-Laney (UAB: University of Alabama at Birmingham)H-Index: 19
view all 3 authors...
Rapid weight gain during infancy expands the threat of obesity. Currently, there is a lack of tools to monitor the feeding behavior of infants. This paper presents a sensor system and a method for inspecting satiety cues exhibited by infants during feeding in the form of opening/closing of the eyes. Open eyes and vigorous sucking indicate an alert, actively feeding infant, while eye closing in combination with a slower frequency or lower strength of sucking indicate that an infant is getting ful...
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Jul 1, 2019 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Masudul H. Imtiaz (UA: University of Alabama)H-Index: 3
#2Volkan Y. Senyurek (UA: University of Alabama)H-Index: 7
Last. Edward Sazonov (UA: University of Alabama)H-Index: 27
view all 5 authors...
Cigarette smoking has severe health impacts on those who smoke and the people around them. Several wearable sensing modalities have recently been investigated to collect objective data on daily smoking, including detection of smoking episodes from breathing patterns, hand to mouth behavior, and characteristic hand gestures or cigarette lighting events. In order to provide new insight into ongoing research on the objective collection of smoking-related events, this paper proposes a novel method t...
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Jul 1, 2019 in EMBC (International Conference of the IEEE Engineering in Medicine and Biology Society)
#1Volkan Y. Senyurek (UA: University of Alabama)H-Index: 7
#2Masudul H. Imtiaz (UA: University of Alabama)H-Index: 3
Last. Edward Sazonov (UA: University of Alabama)H-Index: 27
view all 5 authors...
Wearable sensors have successfully been used in recent studies to monitor cigarette smoking events and analyze people’s smoking behavior. Respiratory inductive plethysmography (RIP) has been employed to track breathing and to identify characteristic breathing pattern specific to smoking. Pattern recognition algorithms such as Support Vector Machine (SVM), Hidden Markov Model, Decision tree, or ensemble approaches have been used to identify smoke inhalations. However, no deep learning approaches,...
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#1Volkan Y. Senyurek (UA: University of Alabama)H-Index: 7
#2Masudul H. Imtiaz (UA: University of Alabama)H-Index: 3
Last. Edward Sazonov (UA: University of Alabama)H-Index: 27
view all 5 authors...
Abstract A number of studies have been introduced for the detection of smoking via a variety of features extracted from the wrist IMU data. However, none of the previous studies investigated gesture regularity as a way to detect smoking events. This study describes a novel method to detect smoking events by monitoring the regularity of hand gestures. Here, the regularity of hand gestures was estimated from a one axis accelerometer worn on the wrist of the dominant hand. To quantify the regularit...
3 CitationsSource
#1Muhammad FarooqH-Index: 8
#2Abul DoulahH-Index: 4
Last. Edward SazonovH-Index: 27
view all 6 authors...
Video observations have been widely used for providing ground truth for wearable systems for monitoring food intake in controlled laboratory conditions; however, video observation requires participants be confined to a defined space. The purpose of this analysis was to test an alternative approach for establishing activity types and food intake bouts in a relatively unconstrained environment. The accuracy of a wearable system for assessing food intake was compared with that from video observatio...
1 CitationsSource
#1Volkan Y. SenyurekH-Index: 7
#2Masudul H. ImtiazH-Index: 3
Last. Edward SazonovH-Index: 27
view all 5 authors...
In recent years, a number of wearable approaches have been introduced for objective monitoring of cigarette smoking based on monitoring of hand gestures, breathing or cigarette lighting events. However, non-reactive, objective and accurate measurement of everyday cigarette consumption in the wild remains a challenge. This study utilizes a wearable sensor system (Personal Automatic Cigarette Tracker 2.0, PACT2.0) and proposes a method that integrates information from an instrumented lighter and a...
4 CitationsSource
#1Marco Grossi (UNIBO: University of Bologna)H-Index: 12
#2Annachiara Berardinelli (UNIBO: University of Bologna)H-Index: 16
Last. Martin Omana (UNIBO: University of Bologna)H-Index: 14
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