Improved Spatiotemporal Framework for Human Activity Recognition in Smart Environment by Ziad Salem, Andreas Peter Weiss

“…The rapid development of microsystems technology with the availability of various machine learning algorithms facilitates human activity recognition (HAR) and localization by low-cost and low-complexity systems in various applications related to industry 4.0, healthcare, ambient assisted living as well as tracking and navigation tasks. …”
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ELDERLY AND THE USE OF ASSISTIVE TECHNOLOGIES AT HOME: A LITERATURE SYSTEMATIC REVIEW by Hélter Pessôa de Moura Melo, Walter Franklin Marques Correia, Fábio Ferreira da Costa Campos

“…Scopus, SciELO and Google Scholar were used as databases, based on pre-defined terms, with publications in English and Portuguese and the period from 2015 to 2019. 36 studies were chosen for this review, observing the development of technologies related to physical and digital artifacts, ambient assisted living, wearable and immersive products, in addition to the services implementation for home environment. …”
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A study on the impact of data sampling rates on load signature event detection by Jana Huchtkoetter, Andreas Reinhardt

“…Abstract The analysis of electrical load signatures is an enabling technology for many applications, such as ambient assisted living or energy-saving recommendations. …”
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A Review and Classification of Assisted Living Systems by Caroline A. Byrne, Rem Collier, Gregory M. P. O’Hare

“…Economically speaking, Europe must engage in active aging research in order to avoid unsustainable health costs, and ambient assisted living (AAL) systems provide a platform for the elderly to remain living independently. …”
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How deep is your trust? A comparative user requirements’ analysis of automation in medical and mobility technologies by Sophia Hick, Hannah Biermann, Martina Ziefle

“…In this study, we explored and compared the requirements of future users to build trust in the two contexts of medical and mobility technology by considering Ambient Assisted Living technologies (AAL) and Shared Autonomous Vehicles (SAV). …”
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Improving the Healthcare Effectiveness: The Possible Role of EHR, IoMT and Blockchain by Francesco Girardi, Gaetano De Gennaro, Lucio Colizzi, Nicola Convertini

“…These new records, allowing patients and care providers to share medical data and clinical information, and access them whenever they need, can be considered enabling Ambient Assisted Living technologies. Furthermore, new personal disease monitoring tools support specialists in their tasks, as an example allowing acquisition, transmission and analysis of medical images. …”
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Classifier Level Fusion of Accelerometer and sEMG Signals for Automatic Fitness Activity Diarization by Giorgio Biagetti, Paolo Crippa, Laura Falaschetti, Claudio Turchetti

“…The human activity diarization using wearable technologies is one of the most important supporting techniques for ambient assisted living, sport and fitness activities, healthcare of elderly people. …”
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The Intelligent Built-Environment as Cyber-Physical System by Alexander Liu Cheng

“… This thesis presents an alternative approach to intelligence in the built-environment, departing from the two established yet divergent branches in the discourse: the Technical, centered around Information and Communication Technologies (ICTs), and represented by Ambient Intelligence (AmI) and Ambient Assisted Living (AAL); and the Architectural, centered around architectural / spatial experiences and considerations, and represented by Interactive Architecture and Adaptive Architecture. …”
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A SISO FMCW radar based on inherently frequency scanning antennas for 2-D indoor tracking of multiple subjects by Giulia Sacco, Marco Mercuri, Rainer Hornung, Huib Visser, Ilde Lorato, Stefano Pisa, Guido Dolmans

“…Practical applications arise for ambient assisted living, telemedicine, smart building applications and surveillance.…”
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The Elderly’s Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development by Qin Ni, Ana Belén García Hernando, Iván Pau de la Cruz

“…Most works in this area use the concept of “activity” as the building block with which to construct applications such as healthcare monitoring or ambient assisted living. The process of identifying a specific activity encompasses the selection of the appropriate set of sensors, the correct preprocessing of their provided raw data and the learning/reasoning using this information. …”
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An FMCW Radar for Localization and Vital Signs Measurement for Different Chest Orientations by Giulia Sacco, Emanuele Piuzzi, Erika Pittella, Stefano Pisa

“…To simulate a realistic configuration for ambient assisted living (AAL) applications, in which the thorax orientation towards the antenna is typically unknown, four different scenarios were considered. …”
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Optimizing Design of Smart Workplace through Multi-Objective Programming by Shady Aly, Jan Tyrychtr, Ivan Vrana

“…Plenty of applications have been introduced spanning different settings including healthcare, ambient assisted living, homes, offices, and manufacturing environment, etc. …”
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Managing Elders’ Wandering Behavior Using Sensors-based Solutions: A Survey by Qiang Lin, Daqing Zhang, Liming Chen, Hongbo Ni, Xingshe Zhou

“…To the best of our knowledge, this is the first survey on wandering and technological solutions in this niche area of ambient assisted living.…”
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Joint Probabilistic People Detection in Overlapping Depth Images by Johannes Wetzel, Astrid Laubenheimer, Michael Heizmann

“…Privacy-preserving high-quality people detection is a vital computer vision task for various indoor scenarios, e.g. people counting, customer behavior analysis, ambient assisted living or smart homes. In this work a novel approach for people detection in multiple overlapping depth images is proposed. …”
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Surveying Wearable Human Assistive Technology for Life and Safety Critical Applications: Standards, Challenges and Opportunities by Muhammad Mahtab Alam, Elyes Ben Hamida

“…This paradigm has a vast scope of applications, including disaster management, worker safety in harsh environments such as roadside and building workers, mobile health monitoring, ambient assisted living and many more. It is often the case that during the critical operations and the target conditions, the existing infrastructure is either absent, damaged or overcrowded. …”
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A Systematic Review of Robotics Research in Support of In-Home Care for Older Adults by Anas Abou Allaban, Maozhen Wang, Taşkın Padır

“…Common themes that are consistent across the reviewed papers are distinguished and consolidated as follows: (1) Ambient assisted living, where smart home environments and physical support tools are studied; (2) Robot ecosystem, where robotic devices are used to provide various services; (3) Social interaction, where the social isolation problem has been targeted. …”
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A Deep Convolutional Neural Network-XGB for Direction and Severity Aware Fall Detection and Activity Recognition by Abbas Shah Syed, Daniel Sierra-Sosa, Anup Kumar, Adel Elmaghraby

“…Activity and Fall detection have been a topic of keen interest in the field of ambient assisted living system research. Such systems make use of different sensing mechanisms to monitor human motion and aim to ascertain the activity being performed for health monitoring and other purposes. …”
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Top-Down Delivery of IoT-based Applications for Seniors Behavior Change Capturing Exploiting a Model-Driven Approach by Alessandro Fiore, Adriana Caione, Luca Mainetti, Luigi Manco, Roberto Vergallo

“…The presented study leverages WoX approach for showing an experience in rapid design and prototyping of an ambient assisted living system that detects the movements of elderly persons in their home, acquiring data through sensors in an unobtrusive way. …”
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Optimizing Sensor Deployment for Multi-Sensor-Based HAR System with Improved Glowworm Swarm Optimization Algorithm by Yiming Tian, Jie Zhang

“…Human activity recognition (HAR) technology that analyzes and fuses the data acquired from various homogeneous or heterogeneous sensor sources has motivated the development of enormous human-centered applications such as healthcare, fitness, ambient assisted living and rehabilitation. The concurrent use of multiple sensor sources for HAR is a good choice because the plethora of user information provided by the various sensor sources may be useful. …”
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Human activity recognition with smartphone and wearable sensors using deep learning techniques: a review by Ramanujam, E., Perumal, Thinagaran, Padmavathi, S.

“…It has gained much attraction in various smart home environments, especially to continuously monitor human behaviors in ambient assisted living to provide elderly care and rehabilitation. …”
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