Driver’s Face Pose Estimation Using Fine-Grained Wi-Fi Signals for Next-Generation Internet of Vehicles

Akhtar, Zain Ul Abiden; Rasool, Hafiz Faiz; Asif, Muhammad; Khan, Wali Ullah; Jaffri, Zain ul Abidin; Ali, Md. Sadek

doi:10.1155/2022/7353080

Cited by 3 publications

(3 citation statements)

References 61 publications

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“…In [20], This system provides driver's face localization based on the variance of CSI amplitude and phase, with the aim of detecting distraction and fatigue activity. It consists of three modules: CSI preprocessing, feature extraction, and classification.…”

Section: A Head Motion Systems Based On Wi-fi Csimentioning

confidence: 99%

HeMoFi4Q: Morse Communication Based on Wi-Fi and Head Motion for Quadriplegia With Environmental Robustness

Bastwesy,

Choi,

Arakawa

2023

IEEE Access

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Quadriplegics face a communication obstacle as their physical abilities are restricted, leaving them unable to speak or use their limbs, with only upper neck being mobile. So, we propose a recognition system and a new communication language utilizing Morse code and head movements, to break this barrier. We aim to overcome the limitations of camera-based and wearable-sensor methods, including occlusion, privacy concerns, and user-inconvenience. The goal is to passively detect quadriplegics' head movements and map them to its corresponding character. The dataset including all 26 alphabet letters, was gathered in various settings, including single-user and multi-human environments, with multiple locations for each setting. For evaluation, 2% samples are randomly selected from the unseen environment to be used with seen environment as a training dataset. Based on the results, our system demonstrates practical feasibility for real-world implementation, with accuracy rates of 94% and 80% achieved in single-user and multi-human environments, respectively.

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Section: A Head Motion Systems Based On Wi-fi Csimentioning

confidence: 99%

HeMoFi4Q: Morse Communication Based on Wi-Fi and Head Motion for Quadriplegia With Environmental Robustness

Bastwesy,

Choi,

Arakawa

2023

IEEE Access

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“…In addition, the Internet of vehicles can also realize vehicle to everything (V2X), where x can be an entity or nonentity [8,9]. However, with the rapid development of the Internet of vehicles, the data of the Internet of vehicles has also experienced a blowout growth in recent years [10][11][12][13][14]. Intel's Research Report on the amount of data used by Internet of vehicles users a few years ago pointed out that, in 2020, the amount of data used by a car that realizes automatic driving will be 4000 GB [15].…”

Section: Introductionmentioning

confidence: 99%

Internet of Vehicles Resource Scheduling Based on Blockchain and Game Theory

Chen

2022

Mathematical Problems in Engineering

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With the popularity of on-board intelligent devices, the number of vehicle computing intensive applications is also increasing rapidly. Due to the high mobility and limited computing power of the vehicle, and the extensive and changing demand for computing resources of the vehicle terminal, the vehicle often has insufficient computing power. In order to meet the needs of intensive computing applications of vehicle terminals, the computing tasks of vehicles can be unloaded to edge cloud servers (ECSs) with rich resources and high performance to enhance the computing power of vehicle terminals. However, the resource charge of ECS is high, and the scheme needs to consider such issues as ECS signal coverage, long task transmission delay caused by network congestion, and insufficient computing capacity of ECS. Therefore, this study considers unloading the computing tasks of vehicles with insufficient computing resources to nearby vehicles with redundant computing capacity and proposes a resource scheduling method for the Internet of vehicles based on blockchain and game theory. The scheduling of computing resources can reduce the computing workload of buyers’ vehicles and improve the operation efficiency of the whole vehicle network.

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“…Compared with the RSSI, CSI describes the multipath propagation effects of wireless signals to a certain extent and provides more detailed and robust features for advanced environmental perception. Therefore, multiple CSI-based sensing methods have been proposed, including indoor location [4,5], intrusion detection [6,7], behavior classification [8,9], and gesture recognition [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

MoSeFi: Duration Estimation Robust Human Motion Sensing via Commodity WiFi Device

Wang

Zhang

Qin

et al. 2022

Wireless Communications and Mobile Computing

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Accurate motion interval segmentation is the basic and crucial step in the advanced human perception based on WiFi signals. However, previous works have rarely considered motion duration, which is one of the important parameters for complete description of human motion. On this basis, we deeply investigate the properties of the CSI ratio from the perspective of Mobius transformation and construct a novel motion indicator using its complementary real and imaginary parts. The new indicator can attenuate the impact of motion fragmentation under short-window conditions and significantly reduce the duration error while ensuring detection accuracy. Moreover, we propose a universal subcarrier screening method based on response sensitivity and shape similarity, which provides more accurate information for perception. Furthermore, we present MoSeFi—a duration estimation robust human motion detection system using an existing commercial WiFi device. Detailed experimental results demonstrate that MoSeFi is lightweight yet effective compared to state-of-the-art systems.

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Driver’s Face Pose Estimation Using Fine-Grained Wi-Fi Signals for Next-Generation Internet of Vehicles

Cited by 3 publications

References 61 publications

HeMoFi4Q: Morse Communication Based on Wi-Fi and Head Motion for Quadriplegia With Environmental Robustness

HeMoFi4Q: Morse Communication Based on Wi-Fi and Head Motion for Quadriplegia With Environmental Robustness

Internet of Vehicles Resource Scheduling Based on Blockchain and Game Theory

MoSeFi: Duration Estimation Robust Human Motion Sensing via Commodity WiFi Device

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