Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …
Using inertial sensors to automatically detect and segment activities of daily living in people with Parkinson's disease
Wearable sensors such as inertial measurement units (IMUs) have been widely used to
measure the quantity of physical activities during daily living in healthy and people with …
measure the quantity of physical activities during daily living in healthy and people with …
An adaptive and on-line IMU-based locomotion activity classification method using a triplet Markov model
H Li, S Derrode, W Pieczynski - Neurocomputing, 2019 - Elsevier
Detecting locomotion activities are critical for the analysis of human daily activities. In this
paper, an adaptive on-line classification method is proposed to detect four lower limb …
paper, an adaptive on-line classification method is proposed to detect four lower limb …
Wearable sensor-based human activity recognition method with multi-features extracted from Hilbert-Huang transform
Wearable sensors-based human activity recognition introduces many useful applications
and services in health care, rehabilitation training, elderly monitoring and many other areas …
and services in health care, rehabilitation training, elderly monitoring and many other areas …
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 …
Approach for the development of a framework for the identification of activities of daily living using sensors in mobile devices
Sensors available on mobile devices allow the automatic identification of Activities of Daily
Living (ADL). This paper describes an approach for the creation of a framework for the …
Living (ADL). This paper describes an approach for the creation of a framework for the …
A novel chaotic map based compressive classification scheme for human activity recognition using a tri-axial accelerometer
Human activity recognition using wearable body sensors plays a vital role in the field of
pervasive computing. In this paper, we present human activity recognition framework using …
pervasive computing. In this paper, we present human activity recognition framework using …
Toward smart footwear to track frailty phenotypes—using propulsion performance to determine frailty
Frailty assessment is dependent on the availability of trained personnel and it is currently
limited to clinic and supervised setting. The growing aging population has made it necessary …
limited to clinic and supervised setting. The growing aging population has made it necessary …
An improved strapdown inertial navigation system initial alignment algorithm for unmanned vehicles
Y Zhang, F Yu, W Gao, Y Wang - Sensors, 2018 - mdpi.com
Along with the development of computer technology and informatization, the unmanned
vehicle has become an important equipment in military, civil and some other fields. The …
vehicle has become an important equipment in military, civil and some other fields. The …
A novel sensor-based human activity recognition method based on hybrid feature selection and combinational optimization
Y Tian, J Zhang, L Li, Z Liu - IEEE Access, 2021 - ieeexplore.ieee.org
In recent years, sensor-based human activity recognition (HAR) has become a hot topic due
to the advancement of sensing technologies, wireless communication technologies and …
to the advancement of sensing technologies, wireless communication technologies and …