Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from email@example.com. CHI’14 , April 26–May 1, 2014, Toronto, Canada. Copyright c © 2014 ACM ISBN/14/04...$15.00. Abstract We explore the potential of a Microsoft Kinect sensor and Arduino microcontrollers to provide a home automation system with gesture and voice based controls. The Microsoft Kinect brought depth-sensing cameras to a mainstream consumer audience and a robust voice recognition application programming interface (API). This approach of using inexpensive hardware allows us to build a scalable solution that augments homes to provide an increased quality of life to the elderly and the disabled. Gesture based controls allow for users to send control signals without manipulating a physical object, increasing accessibility of objects and ease of use. Voice recognition allows for increased multitasking that comes with hands-free manipulation of controls and allows some of the disabled to gain independence. We present our findings on the advantages and shortcomings of building our hardware solution, Vendos.