This document describes the design and implementation of a human-computer interaction system using hand gestures. A small wireless module containing a 3-axis accelerometer is worn on the hand. A time-delay neural network algorithm analyzes the accelerometer data to classify gestures. The system is designed to be unintrusive and allow control of home appliances through gesture menus. This could enable independent living for aging or disabled users unable to use traditional remote controls.