Many techniques are developed for improving the classification performance of motor imagery (MI) signals used in Brain computer interfacing (BCI). Still there is scope improvement using various techniques. In this paper, cross correlation (CC) technique has been features extraction from EEG signal and final was done based on voting method which selects best classifier among five classifiers classification. Our approach tested public data set 2a BCI competition IV. The results proved that our...

The use of smart indoor robotics services is gradually increasing in real-time scenarios. This paper presents a versatile approach to multi-robot backing crash prevention environments, using hardware schemes achieve greater competence. Here, sensor fusion was initially used analyze the state multi-robots and their orientation within static or dynamic scenario. proposed novel scheme-based framework integrates both scenarios for execution prevention. A round-robin (RR) scheduling algorithm...

Generally, the Battery Energy Storage Systems (BESS) may meet entire load requirements while wind turbine and PV array are still not providing energy, which enhances reliability of power system's distribution. The primary aim presented research is to produce a framework for enhancing quality in hybrid devices attached renewable sources via an optimised fractional order proportional integral (FOPI) Controller Unified Power Quality Conditioner (UPQC). source input made up RES. To address PQ...

Mobile robots parking in indoor environments, trending towards complex problems, has motivated the development of new hardware computational paradigms. In this paper, we present a novel and effective research for addressing assistance slot identification based on geometry mobile using sensor data fusion with schemes. This paper been abstracted into three levels. Initially, was analyzed multi-sensory at gateway slots environment. A heuristic algorithm developed to analyze vehicle patterns....

This research presents a sleep posture monitoring system designed to assist the elderly and patient attendees. Monitoring in real time is challenging, this approach introduces hardware-based edge computation methods. Initially, we detected postures using minimally optimized sensing modules fusion techniques. was achieved based on subject (human) data at standard adaptive levels posture-learning processing elements (PEs). Intermittent evaluation performed with respect static PEs. The final...

This paper focuses on the real time control of autonomous robot through detection multiple types motor imagery. The EEG data contains when subject performs imagery activity. activity includes movements left hand, right leg and leg. For feature extraction, cross-correlation method is used to calculate six statistical features (mean, median, mode, maximum, minimum, standard deviation). classification, Support Vector Machine (SVM) was used. As SVM binary classifier, one verses rest approach...

Robotic exploration in dynamic and complex environments requires advanced adaptive mapping strategies to ensure accurate representation of the environments. This paper introduces an innovative grid flex-graph (GFGE) algorithm designed for single-robot mapping. hardware-scheme-based leverages a combination quad-grid graph structures enhance efficiency both local global implemented on field-programmable gate array (FPGA). novel research work involved using sensor fusion analyze robot’s...

In this paper, a line follower robot is constructed and implemented on Xilinx ZYNQ-7000 SoC using the Software development Kit. The designed to follow ground infrared sensors SoC's Programmable Logic. software that interacts with PL controls motions of in sensor data developed Processor Subsystem SoC.

The modern-day world is largely dependent on transportation. This burdening and exhausting fossil fuel resources. In converse, this also increases greenhouse gases. People the Automobile industry are now focusing greener cleaner alternatives. Electric Vehicles, despite having range anxiety, a lack of proportionate battery charging/swapping infrastructure far more viable option than their ICE counterparts. Being an emerging economy, it primarily focused developing infrastructure. best time...

This study addresses the challenges of human-robot interactions in real-time environments with adaptive field-programmable gate array (FPGA)-based accelerators. Predicting human posture indoor confined areas is a significant challenge for service robots. The proposed approach works on two levels: estimation location and robot's intention to serve based human's at static positions. paper presents three methodologies address these challenges: binary classification analyze postures localization...

A hardware core processor is combined with a programmable structure on single device in reconfigurable architecture. The estimators are constructed to enable advanced estimating. At runtime, partial reconfiguration (PR) allows for on-the-fly changes functionality while the rest of logic architecture continues function normally. PR lowers number logical devices, power consumption, and increases system upgradeability. design should be divided into two techniques this article. Static types...

Autonomous driving systems and applications in the real time are trending field these days. To carry out all necessary operations accordance with requirements, do require sophisticated algorithms. One of most challenging constraints performing actions by autonomous is controlling road speed. The novel method proposed for motor speed stipulations uses a Convolutional Neural Network (CNN) algorithm to scan limit sign boards. effectiveness our system contingent on CNNs' ability properly...

Service robots perform versatile functions in indoor environments. This study focuses on obstacle avoidance using flock-type indoor-based multi-robots. Each robot was developed with rendezvous behavior and distributed intelligence to avoidance. The hardware scheme-based obstacle-avoidance algorithm a bio-inspired flock approach, which three stages. Initially, the estimates polygonal obstacles their orientations. second stage involves performing at different orientations of heuristic based...

To communicate without any muscle movement and purely based on brain signal has been the goal of Brain computer interfacing (BCI). Recent BCI studies reported more accurate detection states. This paper proposes a study that detects EEG belonging todifferent imaginary motor activities (Right leg, right hand, left leg hand). The Electroencephalogram (EEG) conditioned by band pass filter (BPF) to improve noise ratio (SNR). proposed method is similarity between signals extract features. For...

Assistive robotics will help the physically disabled persons in many ways. They attempt to restore human abilities that have been reduced or lost by disease, accident, old age. In this paper we described about how P300 based Brain Computer Interface (BCI) system controller work and employed improve conventional controlling methods interpreting normal BCI with path planning technique like Dijkstra's algorithm for an autonomous robot. data collected from a healthy subject on specified imagery...

Abstract Multichannel, audio processing approaches are widely examined in human–computer interaction, autonomous robots, surveillance, and teleconferencing systems. The numerous applications linked to the speech technology acoustic analysis area. Much attention is received active speakers spatial localization of sources on sensor arrays. Baseline provide negotiable performance a real‐world comprised far‐field/near‐field monitoring, reverberant noisy environments, also outdoor/indoor...

Emotions are mental states that accompany physiological changes in the face, resulting facial expressions. Sympathy, anger, worry, joy, fright, and other significant emotions a few examples. Facial expressions play role non-verbal communication because they encapsulate person's emotions. There has been great deal of research done on computer modelling human Computer made possible by technology. However, it is still its infancy. The authors attempted to overcome limitations create new...