Authenticating user while Performing Transaction at ATM/POS using Hand Gestures

This electronic document defines the use of Vision-based technology for authentication at ATM/POS while performing a transaction. It makes use of Hand Gestures which are conveyed through finger position and shape of a palm, which helps in entering the ATM pin through gestures of the hand. The hand gestures are being detected using OpenCV, python 3.7. A High-uality camera and well-lit background are required for proper detection of hand position. This Paper will propose to develop a hand gesture recognition system for safely performing a transaction at ATM/POS.

Contributions of exercise-induced fatigue versus intertrial tendon vibration on visual-proprioceptive weighting for goal-directed movement

Previous work has used muscle fatigue or tendon vibration to perturb proprioceptive limb position estimates. This study sought to determine whether exercise-induced muscle fatigue versus intertrial tendon vibration can alter multisensory weighting for upper limb-aiming movements. By introducing a discrepancy between participants’ actual proprioceptive and visual finger position, this study provides seminal evidence for the reduction of proprioceptive-to-visual weighting using intertrial tendon vibration but no evidence for a systematic reduction following exercise-induced fatigue.

Fuzzy-Integral Based Estimate of Vertical-Direction Error Caused by Pointing Fingers at Objects

There have been recent attempts to control home electric appliances and devices using robots. Information can be shared with robots by using finger pointing. Finger pointing is used as a means of communication with people around. However, when a person points at an object with a finger, position of the object cannot be indicated accurately. In this work, we studied the error between a target point, which a person tries to point at with a finger, and an observation point, which is actually pointed at. We also proposed an error estimation model using a fuzzy integral to estimate and correct the error at the observation point.

Errata: System for measuring finger force profiles for dexterity assessment (2019, vol. 11, no. 2, pp. 108-113)

In the December 2019 issue of the Telfor Journal, there is a technical error in the paper "System for Measuring Finger Force Profiles for Dexterity Assessment" by Milica M. Badža, Marija M. Novičić, Milica Đurić-Jovičić, Milica M. Janković, and Mirjana B. Popović [1]. Fig 7 [1], showing the sensitivity of the strain gage force sensor to the pressure point, is not presented as it should be. The correct versions of Fig. 7 is as follows: Fig. 7. The sensitivity of the strain gage force sensor to the pressure point. Finger position on the sensor is presented along the x-axis. We apologize for any confusion this may have caused.

The impact of finger position on pinch strength

Introduction Pinch strength is a widely used measurement of hand function, but digit position on the pinch gauge has not been described in the literature. The aim of this study was to assess for differences in tip, lateral, and three-jaw-chuck pinch force when the digits are placed on the groove or bridge of a Bernadette and Linda pinch gauge. Methods Thirty-six healthy volunteers each pinched six times in random order: one for each type of pinch force with the digits placed in each position. Results There were no significant differences in pinch strength measurements based on digit position, except for three-jaw-chuck pinch which was slightly higher on the groove. Equivalence was found within one pound for tip and lateral pinch but not for three-jaw-chuck. Conclusion Variations in finger position may result in similar pinch strength measurements for tip and lateral pinch. Clinicians may reliably assess lateral and tip pinch using either position; however, standardized positioning is still recommended.