When wearable technology meets computing in future networks

Abstract

Rapid technology advancement, economic growth, and industrialization have paved the way for developing a new niche of small body-worn personal devices, gathered together under a wearabletechnology title. The triggers stimulated by end-users interest have introduced the first generation of mass-consumer wearables in just the past decade. Evidently, the trailblazing ones were not designed with strict energy-consumption restrictions in mind. Thus, wearable-computing-related research remained fragmented. Advanced and sophisticated batteries and communication technologies could be already procurable on devices. Additional solutions for efficient utilization of processing power are still a white spot on the wearable technology roadmap. A-WEAR EU project aims to enhance the understanding of how the superimposition of those technologies would improve wearable devices' energy efficiency, with the research area being far from saturation. We foresee enormous room for research as the Edge computing paradigm is emerging towards hand-held devices. CCS CONCEPTS• General and reference → Cross-computing tools and techniques; • Hardware → Networking hardware; Wireless devices; Emerging architectures; • Computer systems organization → Distributed architectures; • Networks → Network topology types; Wireless access networks.

Managing Perceived Loneliness and Social-Isolation Levels for Older Adults: A Survey with Focus on Wearables-Based Solutions

“…In such a way, the devices of two users found in the proximity of each other can exchange relevant information and enable various services, such as proximity-based social networking, etc. Notably, Edge and D2D computing require a certain level of awareness and management from the infrastructure network to solve high mobility related to personal handheld and "carriable" devices [135]. In contrast, the Cloud paradigm relies on any level of infrastructure connectivity, which may result in significantly higher delays compared to D2D.…”

Getting Connected to M-Health Technologies through a Meta-Analysis

“…For the wearables market, an annual growth rate of 20% is estimated for the following years, moving about 150 billion euros up to 2028 [16]. The proliferation of wearables on the market predicted for the next decade will stimulate the technological advancement of such devices, improving intelligent systems and their resources [17].…”

A meta-analysis of a comprehensive m-health technology acceptance

“…The wearables market is estimated to have an annual growth rate of 20% in the next few years, moving around €150bn by 2028 (Hayward et al , 2017). The forecasting for the dissemination of wearable devices for the next decade triggers the technological advancement of these devices, increasing intelligent systems and their resources (Ometov et al , 2021). However, despite the potential benefit of using these devices, the relationship between this technology and its potential users tends to be complex (Piotrowicz, 2017; Echeveste et al , 2017; Calegari and Fettermann, 2022).…”