Jianmin Dong
Datos Biográficos
| ID | 7805317 |
|---|---|
| NOMBRE | Jianmin Dong |
| NOMBRES | Jianmin |
| APELLIDO | Dong |
| FIRMA | DONG J |
| AFILIACIONES | University of Nottingham Ningbo China |
| ORCID | 0000-0002-4815-6288 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2025 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 0 |
Quantitative Estimation of Human Height and Weight Using Motion Data From Multiple Smart Devices
This article proposes a methodological framework for quantitative estimations of height and weight using behavioral data collected from smart devices. We analyze the connections between height and weight information and behavioral data from three aspects: walking speed, stride length, and step frequency and then extract two kinds of motion features including basic kinematic features and advanced features which use statistical measurements summari…
Dietary pattern index and sleep disturbances
Sleep disturbances have become an increasingly prevalent public health concern, with higher incidence rates observed among individuals with chronic conditions such as obesity and diabetes. Data from the 2011–2014 National Health and Nutrition Examination Survey (NHANES) underscore the rising prevalence of sleep disorders, which are associated with a wide range of adverse health outcomes, including cardiovascular diseases, metabolic disorders, and…
Sin obras prominentes en esta página.
Quantitative Estimation of Human Height and Weight Using Motion Data From Multiple Smart Devices
This article proposes a methodological framework for quantitative estimations of height and weight using behavioral data collected from smart devices. We analyze the connections between height and weight information and behavioral data from three aspects: walking speed, stride length, and step frequency and then extract two kinds of motion features including basic kinematic features and advanced features which use statistical measurements summari…
Dietary pattern index and sleep disturbances
Sleep disturbances have become an increasingly prevalent public health concern, with higher incidence rates observed among individuals with chronic conditions such as obesity and diabetes. Data from the 2011–2014 National Health and Nutrition Examination Survey (NHANES) underscore the rising prevalence of sleep disorders, which are associated with a wide range of adverse health outcomes, including cardiovascular diseases, metabolic disorders, and…
Nutritional Studies and Diet (2 obras) · Artificial Intelligence (1 obras) · Biostatistics (1 obras) · Computer Science (1 obras) · Computer vision (1 obras) · Context-Aware Activity Recognition Systems (1 obras) · Engineering (1 obras) · Environmental health (1 obras) · Epidemiology (1 obras) · Estimation (1 obras)