Projects

Two projects, built on the same sensing work.

One wearable system that is already running on hardware, and one surgical platform still at the research stage. What connects them is force and motion: measuring it precisely enough to act on.

Hardware in build

TremorSense

Wearable tremor detection and severity classification.

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TremorSense on the bench in Ile-Ife, sitting on the orientation derivations it implements.

A wearable, IMU-based system paired with an embedded machine learning model for real-time detection and severity classification of Parkinsonian and essential tremor. The current bench build runs entirely on an ESP32-C3, with no cloud connection, and streams a local dashboard of orientation and tremor band metrics.

Microcontroller: ESP32-C3
Inertial measurement: MPU-6050
Environment: DHT11
Readout: SSD1306 OLED
Alert: Piezo buzzer

AcceptedToward a Personalized Knee Ankle Wearable Exoskeleton for Partial Stroke Rehabilitation: A Review of Design, Control, and Clinical Evidence

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In development

Haptic enabled surgical robotic arm

Surgical robotics

Giving surgeons a sense of touch through a robotic interface.

Hapkit haptic rig, footage pending

Most deployed surgical robots give the surgeon no sense of touch. Tissue interaction forces have to be inferred from what can be seen on a screen, which is associated with greater tissue trauma, excessive grasping force and longer training curves. In settings where surgical robotics is only beginning to be accessible at all, systems are usually specified without force feedback, because it is the first thing cut on cost.

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