The sensors that make our research possible

Below is a comprehensive list of the sensors that we at the Sensory Motor Integration Lab use to conduct our research. Our recording modalities include motion capture, electrophysiological measurements, and sentiment analytics using deep learning models for face recognition.

The Motion Monitor

The MotionMonitor is a turnkey 3D motion capture system with software for biomechanics research and rehabilitation. It is designed to synchronously collect data in realtime from hardware that includes optical trackers, inertial measurement units, EMG sensors, force plates, hand transducers, EEG systems, digital video, event markers, other analog devices, virtual reality displays and haptic devices.

Leap Motion

The Leap Motion Controller is an optical hand tracking module that captures the movement of users’ hands and fingers so they can interact naturally with digital content.

Apple Watches

Using standard Apple Watches, we have developed paradigms that allow us to 1) record task-agnostic kinematics and rotation date, and 2) capture heart rate variability data passively. 

XSens Dot Motion Tracker

Movella DOT is an industry leading development platform for the capture, analysis and reporting of human kinematics. Lightweight, portable, high-accuracy wearable inertial sensors, with an easy-to-integrate SDK. 


Polhemus Latus – 8 sensors measuring motion at 188hz.

2 Polhemus Libertys – One set with 4 sensors and another with 16 sensors measuring motion and position at 240hz.


XSens Awinda – Fully Wireless 60hz motion capture setup.

XSens Link – Daisy-Chained set of 240hz motion capture setup.

Included data members: Acceleration, Gyroscope, Magnetometer, Center of Mass.



The lab also has 4 complete 6-sensor configurations of APDM sensors.

Sampling rate – 128hz.

Included Data Members: Acceleration, Magnetometer, Gyroscope, Temperature.


240Hz Position tracking via 8 camera infrared position inference.

Another motion capture system for use in the lab is PhaseSpace’s active infrared camera system that accommodate multiple people in a single scene, for use in dyadic recordings studying interaction between people.


Variable sampling rate EMG, accelerometer and gyroscope.

Per the brochure: “BioStamp nPoint is an FDA 510(k) cleared medical for collecting medical grade, clinical quality biometric, physiological and other eCOA data for clinical trials. We can also use it for kinesiology studies (no need for medical prescription). The system processes raw data into recognizable clinical metrics including vital signs, activity and posture classification, sEMG, and sleep metrics. The sensors are multi-modal, multi-location, rechargeable and reusable. Biostamp data are processed and stored in a secure cloud that can be synchronized with third party EDC and CTM systems. BioStamp nPoint Making Virtual Clinical Trials a Reality BioStamp sensors can be worn on any of 25 locations, and thus discreetly collect targeted biometric data.”


We have two Enobio, 32 channel, 512Hz sampling rate wireless EEG devices that contain a head-sensor accelerometer for motion-correction and characterization, with GUIs for real-time tracking of signal quality.

Tekscan Strideway

The pressure mat Tekscan is used in the lab to quantify gait and balance parameters. Sensor signals obtained during gait and balance tasks are integrated with the XSens and MC10 npoint sensors, allowing the creation of a comprehensive multi-layered profile of the kinematics, kinetics, dynamics (forces) and electrophysiology (EMG, ECG) underlying standardized tasks of PT, OT and other current gait and balance rating scales. Data analysis capabilities include automated foot segmentation to calculate temporal parameters (such as heel contact and propulsion time), automatic generation of strike boxes to identify areas of foot contact, Force versus Time curves, Pressure versus Time curves, Peak Pressure versus Time curves, plantar pressure profiles (peak and average, 2D and 3D), Force–Time Integrals (Impulse Integrals), Automatic Stance Detection, Peak Stance Pressures, Center of Force (CoF) and Center of Force Trajectory. Automatic generation of gait tables with the display of gait cycle, step–stride, differential and symmetry parameters, to be paired with kinematics/kinetic/phys data output, will be provided.