Author:
MercilinRaajini X.,S Abirami,S.R Keerthana,Shrivastava Neha,Malokhat Narbaeva,Yokeshwaran R.
Abstract
The robustness of MEMS based Gesture Controlled Robot is a kind of robot that can be by our hand gestures rather than an ordinary old switches or keypad. In Future there is a chance of making robots that can interact with humans in a natural manner. Hence our target interest is with hand motion-based gesture interfaces. An innovative Formula for gesture recognition is developed for identifying the distinct action signs made through hand movement. A MEMS Sensor was used to carry out this and also an Ultrasonic sensor for convinced operation. In order to full-fill our requirement a program has been written and executed using amicrocontroller system. Upon noticing the results of experimentation proves that our gesture formula is very competent and it’s also enhanced the natural way of intelligence and also assembled in a simple hardware circuit.
Reference15 articles.
1. John B., “Section 6.3 diver hand signals,” in The Professional Divers’ s Handbook, 2nd ed. Gosport, U.K.: Submex, 2005, ch. 6, sec. 3, p. 252.
2. Kvasic’ I., Miökovic’ N., and Vukic’ Z., “Convolutional neural network architectures for sonar-based diver detection and tracking,” in Proc. OCEANS, Jun. 2019, pp. 1–6, DOI: 10.1109/OCEANSE.2019.8867461.
3. Shoulder Muscle Activation During Aquatic and Dry Land Exercises in Nonimpaired Subjects
4. A Wireless Multi-Channel Capacitive Sensor System for Efficient Glove-Based Gesture Recognition With AI at the Edge
5. Fan T. et al., “Analog sensing and computing systems with low power consumption for gesture recognition,” Adv. Intell. Syst., vol. 3, no. 1, Jan. 2021, Art. no. 2000184, DOI: 10.1002/aisy.202000184.