Students learn how engineers gather data and model motion using vectors. They learn about using motion-tracking tools to observe, record, and analyze vectors associated with the motion of their own bodies. They do this qualitatively and quantitatively by analyzing several examples of their own body motion. As a final presentation, student teams act as engineering consultants and propose the use of (free) ARK Mirror technology to help sports teams evaluate body mechanics. A pre/post quiz is provided.

Students extend their knowledge of the skeletal system to biomedical engineering design, specifically the concept of artificial limbs. Students relate the skeleton as a structural system, focusing on the leg as structural necessity. They learn about the design considerations involved in the creation of artificial limbs, including materials and sensors.

This unit covers the broad spectrum of topics that make-up our very amazing human body. Students are introduced to the space environment and learn the major differences between the environment on Earth and that of outer space. The engineering challenges that arise because of these discrepancies are also discussed. Then, students dive into the different components that make up the human body: muscles, bones and joints, the digestive and circulatory systems, the nervous and endocrine systems, the urinary system, the respiratory system, and finally the immune system. Students learn about the different types of muscles in the human body and the effects of microgravity on muscles. Also, they learn about the skeleton, the number of and types of bones in the body, and how outer space affects astronauts' bones. In the lessons on the digestive, circulatory, nervous and endocrine systems, students learn how these vital system work and the challenges faced by astronauts whose systems are impacted by spaceflight. And lastly, advances in engineering technology are discussed through the lessons on the urinary, respiratory and immune systems while students learn how these systems work with all the other body components to help keep the human body healthy.

In this open-ended, hands-on activity that provides practice in engineering data analysis, students are given gait signature metric (GSM) data for known people types (adults and children). Working in teams, they analyze the data and develop models that they believe represent the data. They test their models against similar, but unknown (to the students) data to see how accurate their models are in predicting adult vs. child human subjects given known GSM data. They manipulate and graph data in Excel® to conduct their analyses.

Gait analysis is the study of human motion that can be utilized as biometric information or identification, for medical diagnostics or for comparative biomechanics. In this activity, students observe walking human subjects and then discuss parameters that could be used to characterize walking gaits. They use accelerometers to collect and graph acceleration vs. time data that can help in gait analysis—all part of practicing the engineering data analysis process. Students complete this activity before learning the material presented in the associated lesson.

The sensing, thinking, moving body is the basis of our experience in the world; it is the very foundation on which cognitive intelligence is built. Physical Intelligence, then, is the inherent ability of the human organism to function in extraordinary accord with its physical environment. This class--a joint offering from the Department of Athletics, Physical Education and Recreation (DAPER) and Department of Mechanical Engineering (ME) for both PE and academic credit--uses the MIT gymnastics gym as a laboratory to explore Physical Intelligence as applied to Mechanical Engineering and design. Readings, discussions and experiential learning introduce various dimensions of Physical Intelligence which students then apply to the design of innovative exercise equipment.

After students have complete the associated activity to collect and graph acceleration data from walking human subjects, they learn more about gait analysis---the study of human motion, which is used as biometric data for human medical diagnostics and (non-human) comparative biomechanics. They learn about the steps that comprise the universal process of engineering analysis—data collection, data analysis, mathematical modeling and reporting—and consider how these steps could be applied to analyze a person's gait, which prepares them to conduct the second associated activity.