Smart glasses, such as Google Glass, provide alwaysavailable displays not offered by console and mobile gaming devices, and could potentially offer a pervasive gaming experience. However, research on input for games on smart glasses has been constrained by the available sensors to date. To help inform design directions, this paper explores userdefined game input for smart glasses beyond the capabilities of current sensors, and focuses on the interaction in public settings. We conducted a user-defined input study with 24 participants, each performing 17 common game control tasks using 3 classes of interaction and 2 form factors of smart glasses, for a total of 2448 trials. Results show that users significantly preferred non-touch and non-handheld interaction over using handheld input devices, such as in-air gestures. Also, for touch input without handheld devices, users preferred interacting with their palms over wearable devices (51% vs 20%). In addition, users preferred interactions that are less noticeable due to concerns with social acceptance, and preferred in-air gestures in front of the torso rather than in front of the face (63% vs 37%).

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We propose in this paper a cross-layer link adaptation (CLLA) scheme that uses the number of successful transmissions, the number of transmission failures, and the channel information from the physical layer to determine proper transmission parameters for subsequent medium accesses. In order to improve the throughput of a wireless local area network, dynamic link adaptation schemes can be applied so that the signal and protocol parameters can be adjusted as the radio link conditions change, according to the quality of a wireless channel. Receiver's signal-to-noise ratio (SNR) and received signal level (RSL) are two critical performance parameters that vary with time due to path loss, shadowing effect, multi-path fading and interference. Hence, according to the SNR and RSL of the latest received frame, a link adaptation scheme can quickly respond to the channel variation and suitably adjust parameters for transmissions. The CLLA scheme lets frames be transmitted at the highest available data rate using proper medium access methods to achieve high throughput. Simulation results show that the CLLA scheme performs well in throughput in practical mobile environments.