Sensor-based and vision-based human activity recognition: A comprehensive survey

LM Dang, K Min, H Wang, MJ Piran, CH Lee, H Moon - Pattern Recognition, 2020 - Elsevier
Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …

A survey of human activity recognition in smart homes based on IoT sensors algorithms: Taxonomies, challenges, and opportunities with deep learning

D Bouchabou, SM Nguyen, C Lohr, B LeDuc… - Sensors, 2021 - mdpi.com
Recent advances in Internet of Things (IoT) technologies and the reduction in the cost of
sensors have encouraged the development of smart environments, such as smart homes …

Internet of things (IoT) based activity recognition strategies in smart homes: a review

L Babangida, T Perumal, N Mustapha… - IEEE sensors …, 2022 - ieeexplore.ieee.org
A smart home, which is an extension of a traditional home, is equipped with ubiquitous
sensors embedded in consumer appliances, connected via sensing technologies such as …

Artificial intelligence internet of things for the elderly: From assisted living to health-care monitoring

K Qian, Z Zhang, Y Yamamoto… - IEEE Signal Processing …, 2021 - ieeexplore.ieee.org
An aging population is increasingly prevalent in both developed and developing countries,
raising a series of social challenges and economic burdens. In particular, more elderly …

Deep learning based systems developed for fall detection: a review

MM Islam, O Tayan, MR Islam, MS Islam… - IEEE …, 2020 - ieeexplore.ieee.org
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 …

Activity recognition for ambient assisted living with videos, inertial units and ambient sensors

CM Ranieri, S MacLeod, M Dragone, PA Vargas… - Sensors, 2021 - mdpi.com
Worldwide demographic projections point to a progressively older population. This fact has
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 …

A Gautam, M Panwar, D Biswas… - IEEE journal of …, 2020 - ieeexplore.ieee.org
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 …

Design and implementation of a convolutional neural network on an edge computing smartphone for human activity recognition

T Zebin, PJ Scully, N Peek, AJ Casson… - IEEE Access, 2019 - ieeexplore.ieee.org
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 …

Novel IoT-based privacy-preserving yoga posture recognition system using low-resolution infrared sensors and deep learning

M Gochoo, TH Tan, SC Huang… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
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) …

Deep learning (CNN, RNN) applications for smart homes: a systematic review

J Yu, A de Antonio, E Villalba-Mora - Computers, 2022 - mdpi.com
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 …