# Industrial-Grade Edge Computing Device for Smart Furniture Products
## 2 Related Work  
The term smart furniture is present in many different applications and some authors have gone to great lengths to identify and define it [6]. From a wider perspective, smart furniture is found in many different aspects of life (not just homeware), yet most products are connected or related to the smart city umbrella. For example, Ref. [9] expanded this term into items publicly available on the streets of cities that are placed and applied in order to improve quality of life and to specially support some population segments, such as the elderly population. A similar example is presented in [10], where certain items (kiosks) were identified as a point of contact. The items presented in these applications mostly focus on points of information and human-machine interface devices. Another example, presented in [10], is a digital smart table conceived and defined as a helpful digital interactive tool for fast response teams in emergency operation centers. The digital table is built around a digital imaging device and sensor network that is intended to identify human movement, hence facilitating human interaction with the system. There are several examples of medical applications for smart furniture as well. [PERSON]. [11] explains a specially created chair designed to take heart measurements that can later be processed and interpreted. A case study for telehealthcare devices embedded into hospital furniture is presented in [12]. Yet, none of these applications focus on the manufacturing of general-purpose enhanced home smart furniture that would serve as an IT hub, even though some items are enhanced in connectivity. Perhaps the two most prototypical examples of using smart furniture reflect either of the following:  
1. The smarter way of designing classic furniture to save space and make more efficient furniture by using a smart design or innovative materials, or their combinations;
2. Some sort of integrated human-machine interface device (in many cases, optical touch-screen devices or similar), as presented by [13]. Since the term smart furniture is rather broad, the need to focus the research was imperative. One such overview was presented in [14], following modern concepts of interconnected devices. However, this market niche and related products have shifted partially to wearable segments, and only some (mainly infrastructural) products could still be considered as smart furniture. A similar presentation was made in [15] in regard to researching the points where the smart design of furniture meets digital and connected furniture and its application. Continuing to focus on the desired smart furniture niche, Ref. [16] declares and evaluates several main types of smart or connected furniture. These are a pole type, lamp type, mirror type, and a message board type, with different types of middleware. The presented furniture types are significantly more in line with the furniture presented in this paper, yet no concise approach to edge computing or an IT hub is given in any of these sources. Following the already mentioned example of medical applications [11; 12], an interesting discussion is presented in [17], arguing that the intelligent usage of embedded sensors in a couch could lead to better sleep apnea detection. An overhaul view of the interdisciplinary approach to the consideration of furniture design and the smart furniture concept was given by [18; 19], emphasizing elderly-focused commercial ICT products. These papers focus on a very narrow niche. Having researched the above, the authors wanted to confirm that the market maturity is indeed at an appropriate level before continuing. A digression in research was made as follows:  
According to the European Patent Office [20], a significant number of reported patents are identified in the period of 2010 to 2021 (2022) for the keywords \"Smart Home\" and \"IoT\". The cumulative patent count is 180.589 and 386.285, averaging more than 40 patents per day for \"Smart Home\" and just below 90 patents per day for \"IoT\".