Computational physiognomy, also known as digital face reading, is a concept that uses automatic computational methods to recognize a person's personality traits, psychological qualities, or mentality based on their outward ...

A data acquisition and control system for a 2 DOF platform for testing of transfemoral prosthesis is developed. The system is based on a PC with an attached motion control setup where target position trajectories are ...

Exoskeletons for rehabilitation purposes are developed for use in physical therapy. Compliant torque sensors are needed in joints of Hand and Finger exoskeletons for accuracy and safe interaction. Spring-based series ...

A low-cost sensor is developed for non-destructive fruit quality estimation which switches light-emitting diodes sequentially on at 4 various wavelengths and measures the reflection in the interactive mode. The detector ...

The dissertation presents the design of an electrothermally actuated in plane bidirectionally translatable and symmetric RF-MEMS varactor with a maximum achievable tuneability of 1100%. The varactor is mounted on a ...

This work presents the design of a dual-axis electrostatic MEMS accelerometer to achieve low cross-axis sensitivity and low noise while considering the microfabrication constraints of commercially available multi-user ...

The dissertation presents the design of an electrostatically actuated multi-DoF micro-electromechanical system (MEMS) gyroscope having the 1-DOF in the sensing mode while 2-DOF in driving mode. MEMS gyroscope are used in ...

Mapping of invasive weeds is very important around the globe due to there negative consequences in the habitat. Remote sensing, particularly by using Unmanned Aerial Vehicle (UAV), can be utilized to classify invasive ...

Robotic surgical procedures have gained a lot more importance in the previous years. The major limitation of surgical robotic systems is that they lack sense of tactile force feedback during object grasping and tissue ...

The study presented interface of Deep learning for classification of Human activity Recognition for activities like running, walk, stair climbing and stair climbing down. Custom made dataset is used based on WISDM standard. ...