Project: AIoT-based Human Activity Recognition

Embedded AI & AIoT

Explore the future of intelligent sensing with this hands-on AIoT lab course combining IoT devices, embedded machine learning, and real-time human activity recognition. Learn to collect sensor data from wearable devices, build preprocessing pipelines, train ML/DL models, and deploy optimized AI models onto microcontrollers—all through guided virtual and hardware-assisted labs designed for real-world, industry-ready skills.
Write your awesome label here.

Project Sprints

4 diverse sprints  for the overall project execution

Learning Effort

Approx. 3 hours 

Assessments

Final assesment at the end of the project module

Certificates

by IICT GmbH, Germany 

Why should I take this lab course?

—

For your career

Skills You’ll Gain

Learning paths

Learn by doing:
Experience AIoT through real sensors, edge AI deployment, embedded devices, and real-time classification dashboards—not just theoretical concepts.

Future-proof your skills:
Gain expertise in embedded AI workflows powering wearable tech, smart healthcare, fitness tracking, and Industry 4.0 human–machine interfaces.

Bridge the gap:
Understand how sensor data, embedded ML models, and IoT communication pipelines integrate into complete AIoT systems.

Minimal hardware required:
All core workflows (data preprocessing, model training, dashboarding) run virtually, with optional hands-on testing on real wearable devices.

Career-oriented modules:
Designed to match in-demand roles in embedded systems, AI engineering, digital health, and smart IoT product development.
  • Understanding of motion sensing and IMU data acquisition
  • Experience with Edge Impulse Studio for ML workflows
  • Preprocessing & feature engineering for activity recognition
  • ML/DL model training using Python
  • Optimizing ML models for microcontrollers (TFLite, C++ inference)
  • Deploying real-time inference pipelines on ESP32/MCUs
  • Visualizing live sensor streams and classification outputs
  • Building end-to-end AIoT systems integrating sensing, inference, and dashboards
  • Configure and calibrate IMU-based wearable sensors for reliable data collection
  • Build preprocessing pipelines including filtering, windowing, normalization, and feature extraction
  • Train and validate ML/DL models for human activity recognition using Edge Impulse or Python
  • Convert and deploy optimized models to embedded devices for on-device inference
  • Run real-time classification of activities such as walking, sitting, standing, and running
  • Visualize predictions, confidence scores, and latency through dashboards
  • Troubleshoot noise, sampling issues, model misclassifications, and real-time inference challenges

Meet the instructor

—

IICT  GmbH, Germany

About  the Company
IICT GmbH (International IoT & Communication Technologies) is a Germany-based technology company creating testbeds and hands on labs in IoT, next-generation wireless systems, embedded AI and AIoT. With deep expertise in 5G/6G, LPWAN, Embedded Systems, and Edge AI, IICT designs industry-aligned lab infrastructures and hands-on training programs for universities and technical institutions worldwide.

IICT’s Virtual and Hardware Lab Courses are developed by industrial and research experts using real-world tools, open-source platforms, and industrial-grade frameworks. Through its global Lab-as-a-Service (LaaS) model and Centres of Excellence, IICT enables academic institutions to deliver cutting-edge, project-driven learning experiences—empowering students to build careers in emerging technologies.

If you have questions please contact us

—

We are happy to answer your questions.

Address

IICT GmbH
In der Spöck 12, 77656 Offenburg, Germany

Phone Number

+49 15236798356 

Email

operations@iict-training.com
     info@ii-ct.com