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A Pen That Can Write And Store Notes Through Motion Detection; Independent Of Any Surface

Abstract: The pen is designed to write without the need of any surface. Through the use of sensors – LVDT and RVDT, the pen will automatically detect the words written. Additionally, acceleration and vibration sensors are attached to detect whether the frame of reference is moving or not. The pen is having an in-built memory to store the data and transfer to a device or cloud later. The product comes with an attached display to show the words written to the user. Through the ‘Learner’ component in the hard drive, the pen will learn to detect natural handwriting overtime for the specific user.

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Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
10 January 2023
Publication Number
28/2024
Publication Type
INA
Invention Field
ELECTRONICS
Status
Email
Parent Application

Applicants

INSTITUTE OF ENGINEERING & MANAGEMENT
INSTITUTE OF ENGINEERING & MANAGEMENT, SALT LAKE ELECTRONICS COMPLEX, SECTOR-V, SALT LAKE, KOLKATA.

Inventors

1. Sourav Banerjee
INSTITUTE OF ENGINEERING & MANAGEMENT, SALT LAKE ELECTRONICS COMPLEX, SECTOR-V, SALT LAKE, KOLKATA, PIN- 700091.
2. Anupam Bhattacharya
INSTITUTE OF ENGINEERING & MANAGEMENT, SALT LAKE ELECTRONICS COMPLEX, SECTOR-V, SALT LAKE, KOLKATA, PIN- 700091.

Specification

Description:The product has two broad areas – The Pen Body and the attached sensors. The Pen Body components and their functionalities are described in details below. (Refer to Diagram 2 for the following points)
1. The Processing Module (Refer to Block number 1 in Diagram 2) -
1.1. Word Detector – It is a necessary that the pen understands the boundary of a word. This module of the processor will identify words and their boundaries.
1.2. Dictionary – More or less, an exhaustive list of English words, digits and figures (including special characters) are incorporated in the in-built dictionary. The pen will initially detect movements pertaining to Capital English Alphabets and then, over time, it will be learning other characters and languages as well.
1.3. Handwriting learner – Through this module the pen can be taught to detect regular handwriting of a specific user. The module also has features of learning other languages and special figures.

2. The Storage Module (Refer to Block number 2 in Diagram 2)
2.1. This is the internal storage where the documents written are stored. They can be erased, modified or transferred to other devices using features of other subsequent modules.
3. The Communication Module (Refer to Block number 3 in Diagram 2)
3.1. Through this module the pen can communicate with other devices like a phone or computer. The communication can be through data cable and/or wireless medium.
4. The Selectors (Refer to Block number 4 in Diagram 2)
4.1. The first of the selectors is used to switch between storage to the cloud or to drives. The choice is optional to the user because of customized preferences. The pen will not have the capacity of a computer hard disk, so transfer of files after a certain period is mandatory.
4.2. Word/Number/Figure Selector – It is a changeable button that will tell the pen, whether the user is going to write alphabets or numbers or draw figures.There are certain structures that can be confusing in nature. For example, 1 and I; 8 and B etc. are difficult to detect by the motion sensors.
5. The last component of the body is the display section. It displays the words that the pen detects. If the writer feels that the word is incorrect; he/she can modify the same. (Refer to Block number 5 in Diagram 2)
6. The other segment of the Pen is the sensor. There are three sensors attached. The descriptions are given below: (Refer to Block number 6 in Diagram 2)
6.1. Non-Contact Position Sensor – It is a combination of two separate sensor technology (Refer to Block number 6.1 in Diagram 2)
6.1.1. LVDT – Converts Linear Motion into electrical signals
6.1.2. RVDT – Converts rotational motion into electrical signals
A combination of the above two detects the absolute motion of the pen and converts the motions into alphabets, numbers or figures.
6.2. Accelerometer sensor – Linear acceleration is measured and detected (Refer to Block number 6.2 in Diagram 2)
6.3. Vibration Sensor – The reference frame vibration is detected. The combination of the two, detects whether the frame of reference is moving and/or vibrating because of the movement. This will distinguish the two environments of writing – one, where the user is still and two, where the user is moving (say in a car). (Refer to Block number 6.2 in Diagram 2) , Claims:We Claim:
1. The pen can write and store without the necessity of any solid surface – physical or electronic.

2. Whatever one writes with the pen is automatically stored in the inbuilt memory for later use and/or transfer.

3. Words written are easily and immediately erasable and editable without any form of tampering.

4. The pen will have a digital display facility for verification after every word is complete.

5. The product will have much lesser emissions and radiations as compared to other electronic/smart pens.

6. The product will be the sturdiest amongst all electronic pens.

7. The pen will have in-built dictionary with sentence and word correction facility

8. The digital display will provide suggestive words under necessary conditions. 
9. The pen can switch between detecting motions representing alphabets, numbers and 2-D figures.

10. The pen can extend to learn handwritings through motion-detection overtime and detect words accordingly.

Documents

Application Documents

# Name Date
1 202331001953-REQUEST FOR EXAMINATION (FORM-18) [10-01-2023(online)].pdf 2023-01-10
2 202331001953-FORM 18 [10-01-2023(online)].pdf 2023-01-10
3 202331001953-FORM 1 [10-01-2023(online)].pdf 2023-01-10
4 202331001953-DRAWINGS [10-01-2023(online)].pdf 2023-01-10
5 202331001953-COMPLETE SPECIFICATION [10-01-2023(online)].pdf 2023-01-10
6 202331001953-FORM 3 [06-03-2024(online)].pdf 2024-03-06
7 202331001953-FER.pdf 2025-06-26
8 202331001953-FORM-5 [24-11-2025(online)].pdf 2025-11-24

Search Strategy

1 202331001953_SearchStrategyNew_E_SearchHistoryCASE3-2E_23-06-2025.pdf