On the challenges and potential of using barometric sensors to track human activity
Barometers are among the oldest engineered sensors. Historically, they have been primarily
used either as environmental sensors to measure the atmospheric pressure for weather …
used either as environmental sensors to measure the atmospheric pressure for weather …
Using inertial sensors to determine head motion—a review
S Ionut-Cristian, D Dan-Marius - Journal of Imaging, 2021 - mdpi.com
Human activity recognition and classification are some of the most interesting research
fields, especially due to the rising popularity of wearable devices, such as mobile phones …
fields, especially due to the rising popularity of wearable devices, such as mobile phones …
A survey of machine learning and meta-heuristics approaches for sensor-based human activity recognition systems
Abstract Human Activity Recognition (HAR) is an important research area that has profound
applications in healthcare, security and surveillance. Starting from traditional machine …
applications in healthcare, security and surveillance. Starting from traditional machine …
[HTML][HTML] Second version of google glass as a wearable socio-affective aid: Positive school desirability, high usability, and theoretical framework in a sample of children …
NT Sahin, NU Keshav, JP Salisbury… - JMIR human …, 2018 - humanfactors.jmir.org
Background: Computerized smartglasses are being developed as an assistive technology
for daily activities in children and adults with autism spectrum disorder (ASD). While …
for daily activities in children and adults with autism spectrum disorder (ASD). While …
Regression model-based walking speed estimation using wrist-worn inertial sensor
S Zihajehzadeh, EJ Park - PloS one, 2016 - journals.plos.org
Walking speed is widely used to study human health status. Wearable inertial measurement
units (IMU) are promising tools for the ambulatory measurement of walking speed. Among …
units (IMU) are promising tools for the ambulatory measurement of walking speed. Among …
In-ear accelerometer-based sensor for gait classification
CP Burgos, L Gärtner, MAG Ballester… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
For several years, the detection of gait has been popularly implemented using wearable
sensors, especially in the sports and medical areas. They are unobtrusive devices which …
sensors, especially in the sports and medical areas. They are unobtrusive devices which …
Auto detection and segmentation of daily living activities during a Timed Up and Go task in people with Parkinson's disease using multiple inertial sensors
Background Wearable sensors have the potential to provide clinicians with access to motor
performance of people with movement disorder as they undergo intervention. However …
performance of people with movement disorder as they undergo intervention. However …
A Gaussian process regression model for walking speed estimation using a head-worn IMU
S Zihajehzadeh, EJ Park - … of the IEEE Engineering in Medicine …, 2017 - ieeexplore.ieee.org
Miniature inertial sensors mainly worn on waist, ankle and wrist have been widely used to
measure walking speed of the individuals for lifestyle and/or health monitoring. Recent …
measure walking speed of the individuals for lifestyle and/or health monitoring. Recent …
Head-ar: Human activity recognition with head-mounted imu using weighted ensemble learning
This paper describes the machine learning (ML) method Head-AR, which achieved the
highest performance in a competition with 11 other algorithms and won the Emteq Activity …
highest performance in a competition with 11 other algorithms and won the Emteq Activity …
Would a thermal sensor improve arm motion classification accuracy of a single wrist-mounted inertial device?
Abstract Background Inertial Measurement Unit (IMU)-based wearable sensors have found
common use to track arm activity in daily life. However, classifying a high number of arm …
common use to track arm activity in daily life. However, classifying a high number of arm …