A Proportional, Integrative, and Derivative controller is added by interfacing the MATLAB SIMULINK and Arduino programming environments to optimise the DC motor speed control response of the robotic wheelchair. The resulting automatic tuning system causes the wheelchair speed to remain constant in both ...
A Novel Air Gesture Based Wheelchair Control and Home Automation System. With almost 1 in 10 people across the world requiring the need of assistance for mobility, the wheelchair finds itself to be the most widely used device fo... SR Rupanagudi,VG Bhat,R Nehitha,... - Intelligent Syste...
In this paper, we present a power wheelchair control system that relies on a single sEMG sensor and a new technique for signature recognition called Guided Under-determined Source Signal Separation (GUSSS). Compared to other approaches in the literature, the proposed technique achieves comparable ...
Hand Gesture Recognition Based Omnidirectional Wheelchair Control Using IMU and EMG Sensors This paper presents a hand gesture based control of an omnidirectional wheelchair using inertial measurement unit (IMU) and myoelectric units as wearable s... Kundu, Ananda SankarMazumder, OisheeLenka, Prasanna ...
The proposed method can easily be used for human-machine interaction and smart device controlling like prosthesis, wheelchair, and smart entertainment applications.Advances in Distributed Computing And Artificial Intelligence JournalZehra KARAPINAR SENTURKMelahat Sevgul BAKAY...
Pickerbot Mini NVIDIA Jetson Xavier Robot with iOS/Android Control CareLink2: App Controlled Wheelchair Robot Arm Air Glide Gesture Control iPhone Stand with 360-degree Base Ulanzi O-Lock Tracking Gimbal with Face Tracking & Gesture Recognition ...
With the in-depth study and the rapid development of bioelectrical signal detection technology, sEMG signals have become widely used, such as for the myoelectric controlled prosthesis wheelchair [3] and assistive robots [4]. Meanwhile, gesture recognition is used in remote rescue [5] and factory ...
Prediction of shoulder load from wearable sensors for wheelchair related activities: A machine learning approach. IntroductionShoulder problems like pain or pathology are highly prevalent in manual wheelchair users (MWU) with spinal cord injury, lead to limitations in ... S Amrein,C Werner,WHKD Vri...
Kang, S.-P., Katupitiya, J.: A hand gesture controlled semi-autonomous wheelchair. In: Intelligent Robots and Systems (IRON 2004), vol. 4, pp. 3565–3570 (2004)A Hand Gesture Controlled Semi-autonomous Wheelchair - Kang - 2004
Hand Gesture Wheelchair Control Using Raspberry-PiK.S VairavelR.Nevetha