ExoSkeleton Bionic Arm using Voice Commands
01. Project Title : Exo-Skeleton ( Bionic Arm ) using Voice Commands for the Physically Challenged People.
02. Idea Theme :
Revolutionizing prosthetics: A cost-affordable Bionic Arm with Voice
Recognition for enhanced functionality and inclusivity.
The development of the Voice-Controlled Exo-Skeleton Bionic Arm represents a groundbreaking innovation in the field of prosthetics, aiming to revolutionize the lives of physically challenged individuals. Traditional prosthetic limbs have come a long way, but they often lack the intuitiveness and advanced functionality necessary to provide a seamless experience for users. This project sets out to address these limitations by incorporating cutting-edge technologies such as voice recognition, force sensing, and object detection, ensuring a more natural and inclusive user experience.
The key objective of this project is to create a cost-affordable Bionic Arm that goes beyond conventional prosthetics, providing enhanced functionality and improved control through the integration of voice commands. By empowering users to operate the Bionic Arm hands-free and intuitively, we aim to restore a sense of independence and autonomy to those with limb impairments.
Moreover,
this innovation embraces inclusivity by catering to the needs of individuals
who are deaf or mute. The addition of obstacle detection features further ensures
the safety of users, enabling the Bionic Arm to navigate its surroundings with
ease and preventing collisions.
04. Motivation : Our motivation for developin the Bionic Arm with Voice Recognition is driven by the belief that technology can profoundly impact lives. By combining a prosthetic limb with voice commands, we aim to empower individuals with disabilities, enabling them to interact with their environment more intuitively and confidently. Our goal is to bridge the gap between human potential and technology, creating an inclusive and accessible solution that enhances independence and quality of life. We are inspired by the opportunity to make a real difference, assisting those with limb loss, speech impairments, or sensory challenges. Our commitment to excellence ensures a reliable, affordable, and transformative system. Through this innovation, we envision a future where technology fosters empowerment and compassion for all.
05. Newness/uniqueness of
the innovation : The voice-controlled
Exo-Skeleton Bionic Arms are a revolutionary aspect of the planned advancement
in prosthetics. The main control method is voice commands, which improves user
involvement and experience. Obstacle detection allows for safe object manipulation
and navigation for those who are deaf or mute. Functionality is improved by
precise force sensing, which enables deft handling and firm grip. This
cutting-edge system offers inclusivity, intuitiveness, and independence by
combining voice commands, obstacle detection, and force sensing. It is a big
step forward for prostheses, specifically catering to the need of those who are
deaf or dumb.
1.
Voice Recognition Integration: By combining voice commands with
prosthetic limb control, this innovation offers a hands-free and intuitive
approach, enabling users to effortlessly operate the Bionic Arm.
2.
Force Sensing Capabilities: The integration of force sensors allows the
Bionic Arm to accurately sense and adjust its grip strength based on the force
applied to objects, providing delicate control for fragile items and a firm
grip for heavier objects.
3.
Object Detection and Obstacle Avoidance: The inclusion of ultrasonic
sensors and Time-of-Flight (ToF) sensors enables the Bionic Arm to detect
objects and obstacles in its surroundings, enhancing user safety and autonomy
by allowing the arm to navigate around obstacles.
4.
Inclusive Technology: The Bionic Arm with Voice Recognition caters to
individuals with disabilities, including those who are deaf, blind, or have
speech impairments. By offering customizable control through voice commands, it
ensures inclusivity and empowers a wider range of users to benefit from its
advanced features.
5.
Comprehensive Feedback System: The Bionic Arm provides real-time feedback
to the user through visual, auditory, or haptic cues, informing them when an
object has been successfully grasped or alerting them to potential obstacles,
ensuring a seamless and safe user experience.
6.
Micro Controller-Based Control System: The integration of a Micro
Controller board as the central control unit enables seamless communication and
coordination between the various components, ensuring efficient and precise
control over the Bionic Arm's movements and functionalities.
7.
Customizable and Adaptive: The Bionic Arm offers customization options
to adapt to individual needs and preferences. Users can calibrate the system
for accurate voice recognition, fine-tune the code, and optimize sensor
performance to achieve personalized control and comfort.
8.
Groundbreaking Technological Advancement: This innovation represents a
groundbreaking advancement in the field of prosthetics, combining multiple
features such as voice control, force sensing, and object detection in a
cost-affordable solution that enhances functionality and independence for
individuals with limb impairments.
Overall,
the combination of voice commands, force sensing, and Object detection in the
voice-controlled Exo-Skeleton Bionic Arm brings unprecedented functionality and
inclusivity to the field of prosthetics, providing a more intuitive and safe
user experience while specifically addressing the needs of individuals who are
deaf or mute.
06. Novelty: The
proposed innovation offers a unique combination of novel features and
advancements in the field of prosthetics, including voice-controlled
Exo-Skeleton Bionic Arms, cost affordability, and assistance for individuals
who are blind with obstacle and object detection. The key areas of novelty are
as follows:
1.
Voice Commands for Intuitive Control: Unlike traditional control
methods, such as manual control or external devices, this innovation introduces
voice commands as the primary mode of control. By integrating voice recognition
technology, it provides users with a more natural, intuitive, and hands-free
approach to operating the Bionic Arm, enhancing user experience and control.
2.
Object and Obstacle Detection for Blind and Speech-Impaired Individuals:
The inclusion of object and obstacle detection capabilities in this innovation
is particularly beneficial for individuals who are blind or have speech
impairments. By incorporating ultrasonic sensors and relevant technologies, the
Bionic Arm can detect objects and obstacles in real-time, enabling blind
individuals to navigate their environment safely. Additionally, individuals who
cannot speak can also benefit from the system's object and obstacle detection,
providing them with increased independence and mobility.
3.
Precise Force Sensing for Enhanced Manipulation: The integration of
precise force sensing capabilities sets this innovation apart from others. The
Bionic Arm accurately detects the force required for object manipulation,
allowing users to handle delicate items with finesse and apply appropriate
force for heavier objects. This level of control and adaptability enhances
functionality, dexterity, and user satisfaction, providing a more natural and
responsive experience compared to traditional prosthetic limbs that lack such
precise force sensing capabilities.
Through
its cost affordability, intuitive voice commands, object and obstacle detection
for blind individuals, and precise force sensing capabilities, this innovation
presents a comprehensive and differentiated solution in the field of
prosthetics. By addressing cost barriers, providing intuitive control,
enhancing safety for the blind, and improving manipulation capabilities, it
offers a unique and advanced prosthetic limb option with enhanced functionality
and inclusivity.
07. Concept &
Objective :
Concept:
The
concept behind the Bionic Arm with Voice Recognition is to create a prosthetic
limb that integrates advanced technologies such as voice recognition, force
sensing, object detection, and obstacle avoidance. By combining these features,
the Bionic Arm offers enhanced functionality, intuitive control, and
inclusivity for individuals with disabilities. The integration of these
technologies in a cost-affordable manner ensures accessibility and provides a
comprehensive solution for prosthetic limb users.
Objectives:
The
primary objectives of the Bionic Arm with Voice Recognition are as follows:
1.
Cost Affordability: This innovation prioritizes cost effectiveness,
making advanced prosthetic limb technology more accessible to a wider range of
individuals. By offering a cost-affordable solution, it addresses a significant
barrier that often restricts individuals from accessing cutting-edge prosthetic
technologies.
2.
User Friendly: The Bionic Arm with Voice Recognition is not only a
groundbreaking innovation in prosthetics but also a user-friendly solution.
With intuitive voice commands, customizable control, clear feedback mechanisms,
and an ergonomic design, users can effortlessly operate the arm. Its
user-centric approach enhances usability, ensuring a seamless and satisfying
experience for individuals with limb impairments.
3.
Develop a voice recognition system: Create an accurate and reliable
voice recognition system that can interpret specific voice commands associated
with different arm movements, force levels, and feedback cues. This system
should enable real-time interaction and control of the prosthetic limb.
4.
Implement force sensing capabilities: Integrate force sensors into the
Bionic Arm to enable it to sense and adjust its grip strength based on the
force applied to objects. This feature allows for delicate handling of fragile
objects and a firmer grip for heavier items, providing users with precise
control and a natural feel.
5.
Integrate object detection and obstacle avoidance: Incorporate
ultrasonic sensors and Time-of-Flight (ToF) sensors into the Bionic Arm to
detect objects and obstacles in the arm's vicinity. This functionality enhances
user safety by enabling the arm to avoid collisions and navigate around
obstacles autonomously.
6.
Ensure seamless communication, precise control, and customization: The
Bionic Arm with Voice Recognition establishes seamless communication and
coordination between its components, allowing for precise control over
movements and real-time voice command recognition. It offers customization
options for users to adapt the arm to their needs and preferences. Thorough
testing and calibration ensure accurate performance, reliable features such as
force sensing, object detection, and obstacle avoidance, and a seamless user
experience.
By
achieving these objectives, the Bionic Arm with Voice Recognition aims to
revolutionize the field of prosthetics by offering an affordable, intuitive,
and inclusive solution that empowers individuals with disabilities, enhancing
their functionality, control, and independence.
08. Specify the potential
areas of application in industry/market in brief :
The
Bionic Arm with Voice Recognition has a wide range of potential applications
across various industries and markets. Some of the key areas where this
innovative technology can be applied include:
1.
Medical Rehabilitation: The Bionic Arm can be utilized in medical
rehabilitation settings to assist individuals who have experienced limb loss or
limb impairment. Its advanced features, such as voice-controlled operation,
force sensing, and object detection, can significantly enhance the
rehabilitation process and help individuals regain functional independence.
2.
Assistive Technology: The Bionic Arm can serve as an assistive device
for individuals with disabilities, including those with limb impairments,
speech impairments, or sensory disabilities. By integrating voice recognition
and intuitive control, it offers an inclusive solution that empowers
individuals to perform daily tasks and improve their quality of life.
3.
Industrial Manufacturing: The precise control and force sensing
capabilities of the Bionic Arm make it well-suited for industrial manufacturing
applications. It can be used to manipulate delicate or heavy objects with
precision, increasing productivity and efficiency in manufacturing processes.
4.
Aerospace and Defense: The Bionic Arm can find applications in aerospace
and defense industries, particularly in tasks that require fine motor skills
and dexterity. Its ability to adapt grip strength and detect objects or
obstacles makes it valuable in handling sensitive equipment or performing
complex tasks in challenging environments.
5.
Robotics and Automation: The Bionic Arm's integration with voice
recognition, force sensing, and object detection technologies positions it as a
valuable component in robotic systems. It can be utilized in robotics and
automation applications, where human-like control and adaptability are required
for tasks such as pick-and-place operations or human-robot collaboration.
6.
Prosthetics Industry: The Bionic Arm represents an advancement in the
field of prosthetics, offering a cost-affordable alternative with enhanced
functionality. It can be integrated into the prosthetics industry, providing
individuals with limb impairments access to a comprehensive and intuitive
prosthetic limb control system.
These
application areas demonstrate the versatility and potential impact of the
Bionic Arm with Voice Recognition across various industries, showcasing its
ability to improve functionality, control, and inclusivity in diverse settings.
09.
Briefly provide the market potential of idea/innovation :
The market
potential for the Bionic Arm with Voice Recognition is significant due to
several factors:
1. Growing
Demand: The demand for advanced prosthetic limb solutions is increasing,
driven by factors such as an aging population, an increase in limb impairments
due to accidents or medical conditions, and a rising focus on improving the
quality of life for individuals with disabilities.
2. Accessibility
and Affordability: The Bionic Arm's cost-effective design makes it
accessible to a broader market segment, overcoming one of the major barriers to
adoption in the prosthetics industry. This affordability factor can attract a
larger customer base, including individuals who may have previously been unable
to afford advanced prosthetic limb technologies.
3. Inclusive
Features: The integration of voice recognition, force sensing, and object
detection in the Bionic Arm offers inclusive features that cater to a wide
range of disabilities. This inclusivity not only expands the potential user
base but also positions the product as a highly desirable solution in the
assistive technology market.
4. Enhanced
Functionality and Control: The advanced features of the Bionic Arm, such as
precise control, adaptive grip strength, and obstacle detection, provide users
with an improved level of functionality and control over their prosthetic limb.
This heightened capability addresses the needs and aspirations of individuals
seeking advanced prosthetic technologies.
5. Industry
Adoption and Partnerships: The innovation and unique features of the Bionic
Arm make it an attractive prospect for partnerships with healthcare providers,
rehabilitation centers, prosthetic limb manufacturers, and assistive technology
companies. Such collaborations can drive market penetration and facilitate
widespread adoption of the technology.
6. Emerging
Technological Advancements: The integration of voice recognition, sensor
technologies, and control systems in the Bionic Arm aligns with the ongoing
advancements in artificial intelligence, robotics, and smart prosthetics. This
alignment positions the innovation at the forefront of emerging trends,
attracting attention and interest from industry players and investors.
Overall,
the Bionic Arm with Voice Recognition has a promising market potential due to
its affordability, inclusivity, advanced features, and alignment with emerging
technological trends. The combination of these factors creates opportunities
for market expansion, partnerships, and improved quality of life for
individuals with limb impairments.
10. Expected time
of completion of idea [12 months] :
Phase |
Duration |
Description |
Planning |
2
month |
Define
project objectives, requirements, and establish the overall project plan. |
Design & Development |
6 months |
Create
the design specifications, including the integration of voice control, force
sensing, and Object detection components. Implement
the hardware and software components, including the Micro Controller board,
servo motors, force sensors, ultrasonic sensors, and voice recognition
module. |
Testing
& Iteration |
2
month |
Conduct
thorough testing of the system's functionality, performance, and integration. |
Refinement |
1
month |
Incorporate
feedback from testing phase and make necessary adjustments to improve the
design and functionality. |
Finalization |
1
month |
Complete
documentation, finalize the system, and prepare for deployment. |
Phase |
Month1 |
Month2 |
Month3 |
Month4 |
Month5 |
Month6 |
Month7 |
Month8 |
Month9 |
Month10 |
Month11 |
Month12 |
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Testing
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Refinement |
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11. Progress :
The project, Exo-Skeleton Bionic Arm, was showcased at the successful
IITEX
Expo (2023) supported by MSME in Hi-Tech City from 28/06/2023 to 30/06/2023. It
garnered significant attention from attendees, including professionals,
researchers, and investors. We received positive feedback and encouragement for
our groundbreaking innovation.
We
firmly believe that the project holds immense potential for research and
development, with your guidance and support. We are confident that we can make significant
contributions for this project.
12. Prototype :
Figure 1 Basic Model of Exo-Skelton Bionic Arm
13. Block Diagram
:
Fig 2 : Block Diagram of Exo Skeleton Bionic Arm |
14. Circuit Diagram :
Figure 3 Circuit Diagram Exo-Skelton Bionic Arm
15. Methodology :
1.
Hardware Setup: In addition to connecting the VoiceRecognitionModule and
servo motors, connect the TOF sensors to the Micro Controller board.
2.
Initialization: Initialize the VoiceRecognitionModule, servo motors, and
TOF sensors.
3.
Loading Gestures: Load pre-defined gesture commands into the
VoiceRecognitionModule.
4.
Main Loop: Continuously check for voice recognition commands using the
VoiceRecognitionModule.
5.
Gesture Execution: Trigger servo motors based on the recognized gesture
index. Additionally, use the TOF sensors to detect Objects or measure
distances.
6.
Feedback and Print Results: Provide feedback through the serial monitor
and print recognized gesture details. Include information from the TOF sensors,
such as Object detection or distance measurements.
7.
Repeat: Continuously recognize voice commands, execute corresponding
actions with servo motors, and use TOF sensors for Object detection or distance
measurements.
8.
Platform: Develop the project on the Micro Controller platform,
leveraging its libraries and functions for controlling servo motors and
interfacing with TOF sensors.
By
integrating TOF sensors into the methodology, the robotic Exo-Skeleton gains
the capability to detect Objects or measure distances. This information can be
used to adapt the movements or actions of the servo motors in response to the
environment.
16.
Critical Review of the Latest Status of
the Technology:
State
of the Nation Report:
Voice-controlled
Exo-Skeleton Bionic Arms with force sensing and Object detection capabilities
are still in the early phases of development and acceptance on a national
scale. Although there have been improvements made to functionality and
usability, voice control, force sensing, and Object detection are still not
fully integrated into bionic arms.
Funding
restrictions and the necessity for interdisciplinary cooperation are Objects.
Review
of the International Status :
Voice-controlled
bionic arms with force sensing and Object detection capabilities are attracting
increasing interest and investment on a global scale. Research focuses on
enhancing Object detection systems, force sensing technology, and voice
recognition. Collaboration and knowledge exchange between researchers around
the world quicken progress. Cost-effectiveness, consumer approval, and
long-term dependability are issues.
17. Literature Review :
S.No |
Title |
Source |
Findings |
Design |
1 |
Efficient Self-Attention Model for
Speech Recognition-Based Assistive Robots Control |
Poirier, Samuel, et
al. "Efficient Self-Attention Model for Speech Recognition-Based
Assistive Robots Control." Sensors 23.13 (2023): 6056. |
1. Unilingual Commands (French
Language) 2. For a user it is a complex task to
manage with Keyword spotting(KWS), Google Speech Commands Dataset (GSCD),
French Speech Commands Dataset (FSCD), and Transfer Learning(TL). 3. A Speaker-dependent Algorithm
Dynamic Time Warping and K-Nearest Neighbor. 4. Operated with buttons to select
modes(4 modes available) later on using voice commands 5. (Ex : In the “Rotation” mode, the available vocabulary is up, down, forward, backward, left, right, plus, minus,
open and close) 6. It is impossible to detect objects
or obstacles. |
1. This cannot be worn by a user. 2. 2 Fingers, Elbow and Shoulder
|
2 |
Voice-Controlled, Robotic FLEXotendon
Glove-II System for Spinal Cord Injury |
Tran, Phillip, et al.
"Patient-specific, voice-controlled, robotic flexotendon glove-ii system
for spinal cord injury." IEEE Robotics and Automation
Letters 5.2 (2020): 898-905. |
It’s an application of voice recognition module but limited to the
people with spinal cord injury( the people who have arm and fingers but struggling to access the fingers) 1.
It is impossible to detect objects or
obstacles. |
2. It has three motorised strings attached
to the thumb, index, and middle fingers of the glove. |
3 |
Lio-A Personal Robot Assistant for
Human-Robot Interaction and Care Applications |
Mišeikis, Justinas, et al. "Lio-a
personal robot assistant for human-robot interaction and care applications." IEEE
Robotics and Automation Letters 5.4 (2020): 5339-5346. |
It’s an application of voice recognition module but limited to the
medical use in the sense it’s a type of a robot which can be operated through
the voice commands or speech recognition. 1. Not user friendly. 2.
Limited
to certain actions. 3.
It is possible to detect objects or
obstacles. |
4. This cannot be worn by a user. 5. Two fingers attached to the gaint
robotic arm |
4 |
Smart Prosthetic Hand |
Kumar, Nalliboyina Yuva Raja Phani, and Maria
Dayana LN. "Design and Implementation of a Smart Prosthetic Hand." |
1.
Computational methods like brain,
gesture, and voice signals to operate a robotic arm. 2.
Voice commands could be sent through
Bluetooth. 3.
In existing model they are going to
work on speech recognition module which will effectively capture the data by
responding to vocal commands. 4.
This project is Limited to the
fingers only. 5.
Not user friendly. |
|
5 |
WEARABLE ROBOTIC DEVICES DESIGNED FOR
FLEXIBILITY AND POWER ASSISTING VOICE COMMANDS USING CATIA V5 |
Shafee, S. M., et al. "A STUDY OF
WEARABLE ROBOTIC DEVICES DESIGNED FOR FLEXIBILITY AND POWER ASSISTING VOICE
COMMANDS USING CATIA V5." |
1.
Operated through voice commands and
flex sensors. 2.
It just affects the elbow, not the
palm or fingers. 3.
It is limited to paralyzed
Individuals. |
|
6 |
Developing and modeling of voice
control system for prosthetic robot arm in medical systems |
Gundogdu, Koksal, Sumeyye Bayrakdar, and
Ibrahim Yucedag. "Developing and modeling of voice control system for
prosthetic robot arm in medical systems." Journal of King Saud
University-Computer and Information Sciences 30.2 (2018): 198-205. |
1.
Operated using voice commands. 2.
Force-sensing and obstacle or object
detection abilities are absent. |
1. This cannot be worn by a user. 2. 2 Fingers, Elbow and Shoulder |
7 |
VOICE CONTROLLED ROBOTIC ARM |
Salim, Abhinav, et al. "Voice controlled
robotic arm." International Research Journal of Engineering and
Technology 4.04 (2017): 2121-2124. |
1.
Operated using voice commands. 2.
Force-sensing and obstacle or object
detection abilities are absent. |
|
8 |
Improved Prosthetic Hand Control with
Synchronous Use of Voice Recognition and Inertial Measurements |
Alkhafaf, Omer Saad, Mousa K. Wali, and Ali
H. Al-Timemy. "Improved prosthetic hand control with synchronous use of
voice recognition and inertial measurements." IOP Conference
Series: Materials Science and Engineering. Vol. 745. No. 1. IOP
Publishing, 2020. |
1.
Operated using voice commands and
foot controller. 2.
Force-sensing and obstacle or object
detection abilities are absent. 3.
Absence of wrist Mechanism. 4.
11 movements only with 99.0% of accuracy 5.
The future plan is; test the control
systems on amputees, increase the number of voice commands, and develop the
foot controller to enhance the number of active movements. |
1. This cannot be worn by a user. Figure 1 foot controller |
9 |
Voice Recognition and Inverse
Kinematics Control for a Redundant Manipulator Based on a Multilayer
Artificial Intelligence Network |
Anh, Mai Ngoc, and Duong Xuan Bien.
"Voice recognition and inverse kinematics control for a redundant
manipulator based on a multilayer artificial intelligence
network." Journal of Robotics 2021 (2021): 1-10. |
1.
Operated using voice commands via
laptop. 2.
Force-sensing and obstacle or object
detection abilities are absent. |
|
10 |
VOICE RECOGNITION FOR PROSTHETIC
CONTROL CASE STUDY |
Towers, Kevin, Kevin Barnes, and Craig
Wallace. "Voice recognition for prosthetic control case study."
Myoelectric Symposium. |
1.
Operated using voice commands. 2.
Force sensing and obstacle or object
detection abilities are absent. |
|
11 |
a voice-controlled prosthetic hand |
Asyali, Musa Hakan, et al. "Design
and implementation of a voice-controlled prosthetic hand." Turkish
Journal of Electrical Engineering and Computer Sciences 19.1 (2011):
33-46. |
1.
No Wrist Mechanism 2.
uttered voice command is not recognized
by the controller due to noise problems, for instance, the prosthetic hand
will simply perform no action 3.
unable to wear 4.
it is restricted to three fingers. 5.
existing
design is limited by recognition capability of just 2 commands, namely
pick up and release. |
|
12 |
Voice Command Decoding for Position
Control of Jaco Robot Arm using a Type-2 Fuzzy Classifier |
Paul, Ipsita, Sayantani Ghosh, and Amit
Konar. "Voice Command decoding for position control of Jaco robot arm
using a type-2 fuzzy classifier." 2020 IEEE International
Conference on Electronics, Computing and Communication Technologies (CONECCT).
IEEE, 2020. |
1. uttered
five basic English language words, `hello', `up', `down', `left' and `right',
each of which is associated with the movement of the robotic arm in a
specific direction |
|
13 |
Improved hand prostheses control for
transradial amputees based on hybrid of voice recognition and
electromyography |
Alkhafaf, Omer Saad, Mousa K. Wali, and Ali
H. Al-Timemy. "Improved hand prostheses control for transradial amputees
based on hybrid of voice recognition and electromyography." The
International Journal of Artificial Organs 44.7 (2021): 509-517. |
01. each strategy had different number of
movements depending on the combination protocol between voice and EMG control
systems |
|
18. Conclusion : In conclusion, the Bionic Arm with Voice Recognition represents a groundbreaking innovation in the field of prosthetics, offering an affordable and inclusive solution for individuals with limb impairments. By integrating voice commands, force sensing, object detection, and obstacle avoidance capabilities, this technology revolutionizes prosthetic limb control and functionality. Its potential applications span across medical rehabilitation, assistive technology, industrial manufacturing, aerospace and defense, robotics, and the prosthetics industry. With growing demand, enhanced functionality, and market partnerships, the Bionic Arm has a promising market potential. It empowers individuals to regain independence, perform daily tasks, and improve their quality of life, highlighting the transformative impact of this cost-effective and inclusive prosthetic limb innovation.
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