Deep learning based systems developed for fall detection: a review
Accidental falls are a major source of loss of autonomy, deaths, and injuries among the
elderly. Accidental falls also have a remarkable impact on the costs of national health …
elderly. Accidental falls also have a remarkable impact on the costs of national health …
Activity recognition for ambient assisted living with videos, inertial units and ambient sensors
Worldwide demographic projections point to a progressively older population. This fact has
fostered research on Ambient Assisted Living, which includes developments on smart …
fostered research on Ambient Assisted Living, which includes developments on smart …
MyoNet: A transfer-learning-based LRCN for lower limb movement recognition and knee joint angle prediction for remote monitoring of rehabilitation progress from …
The clinical assessment technology such as remote monitoring of rehabilitation progress for
lower limb related ailments rely on the automatic evaluation of movement performed along …
lower limb related ailments rely on the automatic evaluation of movement performed along …
Design and implementation of a convolutional neural network on an edge computing smartphone for human activity recognition
Edge computing aims to integrate computing into everyday settings, enabling the system to
be context-aware and private to the user. With the increasing success and popularity of deep …
be context-aware and private to the user. With the increasing success and popularity of deep …
Novel IoT-based privacy-preserving yoga posture recognition system using low-resolution infrared sensors and deep learning
In recent years, the number of yoga practitioners has been drastically increased and there
are more men and older people practice yoga than ever before. Internet of Things (IoT) …
are more men and older people practice yoga than ever before. Internet of Things (IoT) …
Deep learning (CNN, RNN) applications for smart homes: a systematic review
In recent years, research on convolutional neural networks (CNN) and recurrent neural
networks (RNN) in deep learning has been actively conducted. In order to provide more …
networks (RNN) in deep learning has been actively conducted. In order to provide more …