What is the main function of the flash memory?

The flash memory can also be used for storage and in this project, it is used to store the parameters for the hand gesture recognition neural network.

What is the key feature of the system?

One of the key features of this project is the ability of the system to adapt to different users through flexible reprogramming of neural network weights.

What is the main software routine of the Sensor Node?

It contains the following features: display and acceleration data, load neural network weights, execute realtime neural network algorithm, activate alarm when battery level is too low or the Sensor Node cannot be detected, and control the Sensor Node remotely.

What is the main component of the module?

It consists of a Jennic JN5139 wireless transceiver module, an Analog Devices ADXL330 accelerometer, a lithium polymer battery and a charger system.

What is the purpose of the project?

For this project, the microcontroller has been programmed to contain the following features: acquire accelerometer reading, execute the embedded neural network algorithm, transmit results or raw acceleration data to the PC interface, and program neural network weights wirelessly.

What is the programming mode of the module?

In the programming mode, the PC is connected to the header via a USB cable which contains a FTDI FT232 conversion IC in the cable connecting housing.

What is the problem with the battery voltage monitor?

When the supply voltage falls below 2.97V, or 10% above the minimum operating voltage of the Jennic module of 2.7V, the PC interface will flash an alarm to the user.

What is the main purpose of the module?

The Jennic JN5139 Zigbee Module is a surface mount module that allows Zigbee systems to be implemented with a short development time and low cost.

What is the IC used in this project?

It is a 5 pin SOT23 surface mount IC that provides specific charge algorithms for single cell lithium polymer or lithium iron batteries to achieve optimal charging in the shortest possible time.

How does the Home Control Interface work?

The Home Control Interface also demonstrates the feasibility of control home appliances using the hand gesture, and would present an opportunity for a section of the aging population and disabled people to lead a more independent life.

What is the main feature of the system?

Although the neural network architecture can be programmed into the modules, the weights have to be transferred from the PC, where the neural network is trained, to the modules.

Open AccessProceedings Article10.1109/IEMBS.2008.4649672

Human computer interaction using hand gesture

Silas Wan, +1 more

- 14 Oct 2008

- Vol. 2008, pp 2357-2360

TL;DR: In this article, a hand-worn wireless module with a 3-axis accelerometer as the motion sensor is used for controlling home appliances using hand gestures and a home control interface is designed so that the user can control home appliances by moving through menus.

Abstract: Hand gesture is a very natural form of human interaction and can be used effectively in human computer interaction (HCI). This project involves the design and implementation of a HCI using a small hand-worn wireless module with a 3-axis accelerometer as the motion sensor. The small stand-alone unit contains an accelerometer and a wireless Zigbee transceiver with microcontroller. To minimize intrusiveness to the user, the module is designed to be small (3cm by 4 cm). A time-delay neural network algorithm is developed to analyze the time series data from the 3-axis accelerometer. Power consumption is reduced by the non-continuous transmission of data and the use of low-power components, efficient algorithm and sleep mode between sampling for the wireless module. A home control interface is designed so that the user can control home appliances by moving through menus. The results demonstrate the feasibility of controlling home appliances using hand gestures and would present an opportunity for a section of the aging population and disabled people to lead a more independent life.

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Most frequently asked questions

1. What are the contributions in this paper?

This project involves the design and implementation of a HCI using a small hand-worn wireless module with a 3-axis accelerometer as the motion sensor.

2. What are the main software features of the Jennic JN5139?

They include the dropout detection and re-connection of the wireless communication, as well as the battery voltage monitor module.

3. What is the purpose of the Zigbee protocol?

Unlike Bluetooth, Zigbee is designed for short range communication for intelligent devices with low data rate and low current consumption.

4. What is the main software routine of the Receiver Node?

The UART routine receives serial packets from the PC interface while the Zigbee routine receives Zigbee messages from the Sensor Node.

Fig. 2. Sensor Node Timer Callback Flowchart

Citations

Journal Article•10.1016/J.NEUCOM.2018.06.075

Comprehensive Survey of Image Steganography: Techniques, Evaluations, and Trends in Future Research

Inas Jawad Kadhim, +3 more

- 28 Mar 2019

- Neurocomputing

TL;DR: A thorough review of existing types of image steganography and the recent contributions in each category in multiple modalities including general operation, requirements, different aspects, different types and their performance evaluations is provided.

...read moreread less

413

•Journal Article•10.1007/S11263-018-1081-7

Depth-Based Hand Pose Estimation: Methods, Data, and Challenges

James Steven Supană Iă, +4 more

- 01 Nov 2018

- International Journal of Computer Vision

TL;DR: An extensive analysis of the state-of-the-art, focusing on hand pose estimation from a single depth frame, defines a consistent evaluation criteria, rigorously motivated by human experiments and introduces a simple nearest-neighbor baseline that outperforms most existing systems.

...read moreread less

114

Journal Article•10.1109/TASE.2020.3030852

Attention-Based Gated Recurrent Unit for Gesture Recognition

Ghazaleh Khodabandelou, +3 more

- 01 Apr 2021

- IEEE Transactions on Automation Science ...

TL;DR: This work proposes a novel deep neural network approach to forecast future gestures from a given sequence of hand motion using a wearable capacitance sensor of an innovative gesture recognition hardware system and demonstrates that the proposed approach is quite competitive as it can reproduce typical activity trends for important channels.

...read moreread less

•Proceedings Article•10.1109/ICBNMT.2013.6823916

Hand gesture recognition: An overview

Shuai Yang, +2 more

- 01 Nov 2013

TL;DR: An overview of hand gesture recognition research up to date is presented, which includes common stages of hand gestures recognition, common methods and technique of each stage, the state of the recent research and summaries of some successful hand gesture Recognition models.

...read moreread less

Journal Article•10.1016/J.NEUCOM.2016.06.075

Centroid tracking based dynamic hand gesture recognition using discrete Hidden Markov Models

Prashan Premaratne, +3 more

- 08 Mar 2017

- Neurocomputing

TL;DR: Centroid tracking of hand gestures is introduced that captures and retains the time sequence information for feature extraction and simplifies the classification of dynamic gestures as movement in time helps efficient classification without burdensome processing.

...read moreread less

...

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References

•Book

Digital Image Processing Using MATLAB

Rafael C. Gonzalez, +2 more

- 01 Dec 2003

TL;DR: 1. Fundamentals of Image Processing, 2. Intensity Transformations and Spatial Filtering, and 3. Frequency Domain Processing.

...read moreread less

8.1K

Journal Article•10.1109/72.182690

Glove-Talk: a neural network interface between a data-glove and a speech synthesizer

Sidney Fels, +1 more

- 01 Jan 1993

- IEEE Transactions on Neural Networks

TL;DR: To illustrate the potential of multilayer neural networks for adaptive interfaces, a VPL Data-Glove connected to a DECtalk speech synthesizer via five neural networks was used to implement a hand-gesture to speech system, demonstrating that neural networks can be used to develop the complex mappings required in a high bandwidth interface that adapts to the individual user.

...read moreread less

422

Journal Article•10.1109/38.403831

Model-based analysis of hand posture

Jintae Lee, +1 more

- 01 Sep 1995

- IEEE Computer Graphics and Applications

TL;DR: This study developed a new method employing a hand model that can automatically analyze 3D hand postures using static stereo images, and captures 27 interacting hand parameters, including finger joint angles, enabling suitable reconstruction of3D hand posture.

...read moreread less

409

Book Chapter•10.1007/3-540-57956-7_37

Recognizing hand gestures

James W. Davis, +1 more

- 01 Jun 1994

TL;DR: A Finite State Machine is used to model four qualitatively distinct phases of a generic gesture, which are representatives for actions of Left, Right, Up, Down, Grab, Rotate, and Stop.

...read moreread less

159

•Proceedings Article•10.1109/ICCV.1993.378190

Robust structure from motion using motion parallax

Roberto Cipolla, +2 more

- 11 May 1993

TL;DR: It is shown that the relative image motion of a nearby non-coplanar point and its projection on the plane is equivalent to motion parallax, and because it is independent of view rotations it is a reliable geometric cue to 3-D shape and viewer/object motion.

...read moreread less

134

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Human computer interaction using hand gesture

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Most frequently asked questions

1. What are the contributions in this paper?

2. What are the main software features of the Jennic JN5139?

3. What is the purpose of the Zigbee protocol?

4. What is the main software routine of the Receiver Node?

5. What is the main function of the flash memory?

6. What is the key feature of the system?

7. What is the main software routine of the Sensor Node?

8. What is the main component of the module?

9. What is the purpose of the project?

10. What is the programming mode of the module?

11. What is the problem with the battery voltage monitor?

12. What is the main purpose of the module?

13. What is the IC used in this project?

14. How does the Home Control Interface work?

15. What is the main feature of the system?

Figures

Citations

Comprehensive Survey of Image Steganography: Techniques, Evaluations, and Trends in Future Research

Depth-Based Hand Pose Estimation: Methods, Data, and Challenges

Attention-Based Gated Recurrent Unit for Gesture Recognition

Hand gesture recognition: An overview

Centroid tracking based dynamic hand gesture recognition using discrete Hidden Markov Models

References

Digital Image Processing Using MATLAB

Glove-Talk: a neural network interface between a data-glove and a speech synthesizer

Model-based analysis of hand posture

Recognizing hand gestures

Robust structure from motion using motion parallax

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