Multi-sensor fusion in body sensor networks: State-of-the-art and research challenges
Abstract Body Sensor Networks (BSNs) have emerged as a revolutionary technology in
many application domains in health-care, fitness, smart cities, and many other compelling …
many application domains in health-care, fitness, smart cities, and many other compelling …
Wearable medical sensor-based system design: A survey
Wearable medical sensors (WMSs) are garnering ever-increasing attention from both the
scientific community and the industry. Driven by technological advances in sensing, wireless …
scientific community and the industry. Driven by technological advances in sensing, wireless …
[HTML][HTML] How accurate is your activity tracker? A comparative study of step counts in low-intensity physical activities
Background: As commercially available activity trackers are being utilized in clinical trials,
the research community remains uncertain about reliability of the trackers, particularly in …
the research community remains uncertain about reliability of the trackers, particularly in …
Estimation of instantaneous oxygen uptake during exercise and daily activities using a wearable cardio-electromechanical and environmental sensor
Objective: To estimate instantaneous oxygen uptake VO 2 with a small, low-cost wearable
sensor during exercise and daily activities in order to enable monitoring of energy …
sensor during exercise and daily activities in order to enable monitoring of energy …
Deep multi-branch two-stage regression network for accurate energy expenditure estimation with ECG and IMU data
Objective: Energy Expenditure (EE) estimation plays an important role in objectively
evaluating physical activity and its impact on human health. EE during activity can be …
evaluating physical activity and its impact on human health. EE during activity can be …
Unsupervised deep representation learning to remove motion artifacts in free-mode body sensor networks
S Mohammed, I Tashev - 2017 IEEE 14th international …, 2017 - ieeexplore.ieee.org
In body sensor networks, the need to brace sensing devices firmly to the body raises a
fundamental barrier to usability. In this paper, we examine the effects of sensing from …
fundamental barrier to usability. In this paper, we examine the effects of sensing from …
Synchronous dynamic view learning: a framework for autonomous training of activity recognition models using wearable sensors
Wearable technologies play a central role in human-centered Internet-of-Things
applications. Wearables leverage machine learning algorithms to detect events of interest …
applications. Wearables leverage machine learning algorithms to detect events of interest …
Detecting and correcting IMU movements during joint angle estimation
Inertial measurement units (IMUs) increasingly function as a basic component of a wearable
sensor network (WSN). The IMU-based joint angle estimation (JAE) is a typical usage of …
sensor network (WSN). The IMU-based joint angle estimation (JAE) is a typical usage of …
[HTML][HTML] A smartphone app for families with preschool-aged children in a public nutrition program: prototype development and beta-testing
P Hull, JS Emerson, ME Quirk, JR Canedo… - JMIR mHealth and …, 2017 - mhealth.jmir.org
Background: The Special Supplemental Nutrition Program for Women, Infants, and Children
(WIC) in the United States provides free supplemental food and nutrition education to low …
(WIC) in the United States provides free supplemental food and nutrition education to low …
Context-aware system design for remote health monitoring: An application to continuous edema assessment
Designing remote health monitoring systems requires a multi-faceted perspective that takes
into account requirements and contexts imposed by the medical application, technology …
into account requirements and contexts imposed by the medical application, technology …