Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
Direct measurement of human movement by accelerometry
Human movement has been the subject of investigation since the fifth century when early
scientists and researchers attempted to model the human musculoskeletal system. The …
scientists and researchers attempted to model the human musculoskeletal system. The …
Sensor positioning for activity recognition using wearable accelerometers
Activities of daily living are important for assessing changes in physical and behavioral
profiles of the general population over time, particularly for the elderly and patients with …
profiles of the general population over time, particularly for the elderly and patients with …
Context-aware active authentication using smartphone accelerometer measurements
While body movement patterns recorded by a smartphone accelerometer are now well
understood to be discriminative enough to separate users, little work has been done to …
understood to be discriminative enough to separate users, little work has been done to …
Sensor placement for activity detection using wearable accelerometers
Activities of daily living are important for assessing changes in physical and behavioural
profiles of the general population over time, particularly for the elderly and patients with …
profiles of the general population over time, particularly for the elderly and patients with …
Mobile health monitoring system based on activity recognition using accelerometer
We propose a new method to recognize a user's activities of daily living with accelerometers
and RFID sensor. Two wireless accelerometers are used for classification of five human …
and RFID sensor. Two wireless accelerometers are used for classification of five human …
Using machine learning for real-time activity recognition and estimation of energy expenditure
E Munguia Tapia - 2008 - dspace.mit.edu
Obesity is now considered a global epidemic and is predicted to become the number one
preventive health threat in the industrialized world. Presently, over 60% of the US adult …
preventive health threat in the industrialized world. Presently, over 60% of the US adult …
SoM: a smart sensor for human activity monitoring and assisted healthy ageing
D Naranjo-Hernández, LM Roa… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
This paper presents the hardware and software design and implementation of a low-cost,
wearable, and unobstructive intelligent accelerometer sensor for the monitoring of human …
wearable, and unobstructive intelligent accelerometer sensor for the monitoring of human …
Validated caloric expenditure estimation using a single body-worn sensor
In 2007, approximately 30% of US adults were obese, with related health care costs
exceeding 100 billion dollars. Clearly, the obesity epidemic represents a growing societal …
exceeding 100 billion dollars. Clearly, the obesity epidemic represents a growing societal …
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 …