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Alternate Dynamics is developing an advanced AI-powered prosthetic arm that redefines both functionality and user adaptability. Unlike traditional prosthetics, this design incorporates a higher number of degrees of freedom, enabling more natural, precise, and fluid movements that closely mimic the complexity of a biological arm and hand. By leveraging artificial intelligence, the prosthetic learns and adapts to the unique motion patterns of its user, improving its responsiveness and intuitiveness over time. At the heart of the system is a dynamic mechanical architecture that is both lightweight and robust, ensuring long-term comfort without compromising structural integrity. The arm’s modular design not only enhances mobility but also makes maintenance and future upgrades easier. High-precision biosensors—such as surface electromyography (sEMG) and inertial sensors—are embedded strategically to detect muscle signals and translate them into real-time movements. These biosignals are then processed by an onboard AI system that continuously adjusts to the user’s control style, providing seamless coordination between intention and motion. Ease of use is a central focus. The training process is designed to be user-friendly, requiring minimal technical knowledge. Through guided calibration and adaptive learning algorithms, users can quickly personalize the prosthetic to their needs, making it particularly beneficial for individuals with varying levels of amputation and muscle function. Affordability remains a cornerstone of the project. Alternate Dynamics aims to democratize access to high-tech prosthetics by optimizing manufacturing processes, utilizing cost-effective materials, and exploring scalable production techniques. This makes the prosthetic arm an accessible solution not just for urban populations, but also for underserved and rural communities where high-end assistive devices are often out of reach. In essence, Alternate Dynamics’ AI-based prosthetic arm is a fusion of cutting-edge technology, ergonomic design, and user-centric innovation—transforming the way individuals experience limb replacement.

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Entity Type
Limited Liability Partnership
Sectors
Medical Devices
Startup Stage
Prototype

Startup Teams

  • 1 Md Faiz Akram (Founder)
  • 2 Zainab Siddique (Partner)

Incubation Details

  • Incubator Name
    INCUBATION CENTRE REC BANDA
  • Incubator Host Institution
    RAJKIYA ENGINEEDRING COLLEGE BANDA
  • State
    Uttar Pradesh
  • City
    Banda

Approved Incentive

  • 1 Prototype Development
    ₹ 500,000.00

Year of Establishment2021

Location

State
Uttar Pradesh
Disctrict
Gautam Buddha Nagar
Pincode
201009