Smart Living: An Interactive Control System for Household Appliances

Su, Mu-Chun; Chen, Jieh Haur; Arifai, Achmad Muhyidin; Tsai, Sung-yang; Wei, Hsi Hsien

doi:10.1109/access.2021.3051253

Cited by 7 publications

(4 citation statements)

References 27 publications

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“…Te application of a camera or a network of cameras is becoming more and more popular in SHS designs. SHS researchers have used the camera with various computational methods such as image processing, machine learning, gesture recognition, and artifcial intelligence for enhancing smart home security and monitoring [29,52,109], object detection [47], gesture detection [60], and live feed monitoring [72]. Cameras provide a reliable method of setting up security for smart home users.…”

Section: Fluid/water Detection Sensormentioning

confidence: 99%

Smart Home System: A Comprehensive Review

Chakraborty

Islam

Shahriyar

et al. 2023

Journal of Electrical and Computer Engineering

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Smart home is a habitation that has been outfitted with technological solutions that are intended to provide people with services that are suited to their needs. The purpose of this article is to perform a systematic assessment of the latest smart home literature and to conduct a survey of research and development conducted in this field. In addition to presenting a complete picture of the current smart home system’s (SHS) development and characteristics, this paper provides a deep insight into latest hardware and trends. The research then moves on to a detailed discussion of some of the important services provided by the SHS and its advantages. The paper also statistically discusses the current and future research trends in the SHS, followed by a detailed portrayal of the difficulties and roadblocks in implementing them. The comprehensive overview of the SHS presented in this paper will help designers, researchers, funding agencies, and policymakers have a bird’s-eye view of the overall concept, attributes, technological aspects, and features of modern SHSs.

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Section: Fluid/water Detection Sensormentioning

confidence: 99%

Smart Home System: A Comprehensive Review

Chakraborty

Islam

Shahriyar

et al. 2023

Journal of Electrical and Computer Engineering

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“…For example, Strazdas Dominykas et al [67] developed a non-contact multimodal human-computer interaction system called Rosa, which integrates gesture recognition, facial recognition, and speech technologies to efficiently and securely control mechanical systems. Su Mu Chun et al [68] proposed a gesture recognition-based home appliance control system that achieved a recognition accuracy of 91% and allowed wireless control of household appliances using a small set of gestures. In the field of unmanned aerial vehicles (UAVs), gesture recognition technology has been employed as an alternative to traditional joystick controls.…”

Section: Improved Traditional Control Modementioning

confidence: 99%

Research Progress of Human–Computer Interaction Technology Based on Gesture Recognition

Zhou

Wang

et al. 2023

Electronics

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Gesture recognition, as a core technology of human–computer interaction, has broad application prospects and brings new technical possibilities for smart homes, medical care, sports training, and other fields. Compared with the traditional human–computer interaction models based on PC use with keyboards and mice, gesture recognition-based human–computer interaction modes can transmit information more naturally, flexibly, and intuitively, which has become a research hotspot in the field of human–computer interaction in recent years. This paper described the current status of gesture recognition technology, summarized the principles and development history of electromagnetic wave sensor recognition, stress sensor recognition, electromyographic sensor recognition, and visual sensor recognition, and summarized the improvement of this technology by researchers in recent years through the direction of sensor structure, selection of characteristic signals, the algorithm of signal processing, etc. By sorting out and comparing the typical cases of the four implementations, the advantages and disadvantages of each implementation and the application scenarios were discussed from the two aspects of dataset size and accuracy. Based on the abovementioned discussion, the problems and challenges of current gesture recognition technology were discussed in terms of the biocompatibility of sensor structures, wearability and adaptability, stability, robustness, and crossover of signal acquisition and analysis algorithms, and the future development directions in this field were proposed.

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“…Smart Energy Audit Systems (SEACS) have been proposed which largely depends on IoTs via near field communication (NFC) [2]. Hand-gesture-based control Robots have been implemented for real-time interactive control systems targeted at household appliances [3]. Home automation systems for anomaly classification using unsupervised probabilistic associations for sensing and event tracing in smart homes are trending [4], [5], and [6].…”

Section: A Backgroundmentioning

confidence: 99%

ASM-ROBOT: A Cyber-Physical Home Automation Controller with Memristive Reconfigurable State Machine

Okafor¹,

Longe²

2022

IJACSA

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In the next 5 to 10 years, digital Artificial Intelligence with Machine Circuit Learning Algorithms (MCLA) will become the mainstream in complex automated robots. Its power concerns, ethical perspectives, including the issues of digital sensing, actuation, mobility, efficient processcomputation, and wireless communication will require advanced neuromorphic process variable controls. Existing home automated robots lack memristic associative memory. This work presents Cyber-Physical Home Automation System (CPHAS) using Memristive Reconfigurable Algorithmic State Machine (MRASM) chart. A process control architecture that supports Concurrent Wireless Data Streams and Power-Transfer (CWDSPT) is developed. Unlike legacy systems with powersplitting (PS) and time-switching (TS) controls, the MRASM-ROBOT explores granular wireless signal controls through unmodulated high-power continuous wave (CW). This transmits infinite process variables using Orthogonal Space-Time Block Code (OSTBC) for interference reduction. The CWDSPT transmitter and receiver circuit design for signal processing are implemented with complexity noise-error reduction during telemetry data decoding. Received signals are error-buffered while gathering control variables' status.Transceiver Memristive neuromorphic circuits are introduced for computational acceleration in the design. Hardware circuit design is tested for system reliability considering the derived schematic models for all process variables. Under small range space diversity, the system demonstrated significant memory stabilization at the synchronous iteration of the synaptic circuitry.

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Smart Living: An Interactive Control System for Household Appliances

Cited by 7 publications

References 27 publications

Smart Home System: A Comprehensive Review

Smart Home System: A Comprehensive Review

Research Progress of Human–Computer Interaction Technology Based on Gesture Recognition

ASM-ROBOT: A Cyber-Physical Home Automation Controller with Memristive Reconfigurable State Machine

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