A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions
Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …
the computer vision. It has critical application in wide variety of tasks including gaming …
Recent progress in sensing and computing techniques for human activity recognition and motion analysis
The recent scientific and technical advances in Internet of Things (IoT) based pervasive
sensing and computing have created opportunities for the continuous monitoring of human …
sensing and computing have created opportunities for the continuous monitoring of human …
Unimib shar: A dataset for human activity recognition using acceleration data from smartphones
Smartphones, smartwatches, fitness trackers, and ad-hoc wearable devices are being
increasingly used to monitor human activities. Data acquired by the hosted sensors are …
increasingly used to monitor human activities. Data acquired by the hosted sensors are …
On the personalization of classification models for human activity recognition
Recently, a significant amount of literature concerning machine learning techniques has
focused on automatic recognition of activities performed by people. The main reason for this …
focused on automatic recognition of activities performed by people. The main reason for this …
Dual-branch interactive networks on multichannel time series for human activity recognition
The popularity of convolutional architecture has made sensor-based human activity
recognition (HAR) become one primary beneficiary. By simply superimposing multiple …
recognition (HAR) become one primary beneficiary. By simply superimposing multiple …
Human activity classification using Decision Tree and Naive Bayes classifiers
With rapid development in wireless sensor networks and continuous improvements in
developing artificial intelligence-based scientific solutions, the concept of ambient assisted …
developing artificial intelligence-based scientific solutions, the concept of ambient assisted …
Parkinson's disease tremor detection in the wild using wearable accelerometers
Continuous in-home monitoring of Parkinson's Disease (PD) symptoms might allow
improvements in assessment of disease progression and treatment effects. As a first step …
improvements in assessment of disease progression and treatment effects. As a first step …
Wearable IMU-based human activity recognition algorithm for clinical balance assessment using 1D-CNN and GRU ensemble model
YW Kim, KL Joa, HY Jeong, S Lee - Sensors, 2021 - mdpi.com
In this study, a wearable inertial measurement unit system was introduced to assess patients
via the Berg balance scale (BBS), a clinical test for balance assessment. For this purpose …
via the Berg balance scale (BBS), a clinical test for balance assessment. For this purpose …
Comparison of different sets of features for human activity recognition by wearable sensors
S Rosati, G Balestra, M Knaflitz - Sensors, 2018 - mdpi.com
Human Activity Recognition (HAR) refers to an emerging area of interest for medical,
military, and security applications. However, the identification of the features to be used for …
military, and security applications. However, the identification of the features to be used for …
Wearable computing for Internet of Things: A discriminant approach for human activity recognition
With the rapid development of the wireless sensor network and the continuous improvement
of its key technologies, the concept of Internet of Things has been encouraged and extended …
of its key technologies, the concept of Internet of Things has been encouraged and extended …