Date Thesis Awarded


Access Type

Honors Thesis -- Access Restricted On-Campus Only

Degree Name

Bachelors of Science (BS)


Computer Science


Bin Ren

Committee Members

Qun Li

Chi-Kwong Li


Recognizing hand gesture detection is becoming increasingly essential as humans and computers interact closer and closer; we propose a framework for near real-time 3-D hand gesture reconstruction on mobile devices. Specifically, we accomplished a whole-application optimization on the hand gesture recognition and rendering task by parallelism and pipelining. With optimization of the model itself, we can achieve a near-real-time performance on Android cell phones, with the core design idea applicable to other platforms. Moreover, we present extensive data on partition tasks to achieve efficient pipelining.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

On-Campus Access Only