Overview
PAL is a wearable platform for personalized, context-aware, and always-present user change. PAL has multimodal sensors (camera, location, movement, heart rate, and on-device deep learning) to recognize user context context-aware, e.g., people, indoor locations, objects, etc. On-device deep learning minimizes computation time to provide real-time and offline context-aware support, and user data is also more private as raw data is not sent to the cloud. PAL offers personalized support for each user and users can train custom trainable low-shot models for personalized context detection and support.
We are currently exploring PAL for real-world-loop behavior change support using reinforcement learning for closed-loop behavior change interventions. PAL can also be used for real-time cognitive support (e.g., memory augmentation) and visual assistance (e.g., for visually impaired).
PAL is made by my family of collaborators. PAL, by family :)
Overview
PAL is a wearable platform for personalized, context-aware, and always-present user change. PAL has multimodal sensors (camera, location, movement, heart rate, and on-device deep learning) to recognize user context context-aware, e.g., people, indoor locations, objects, etc. On-device deep learning minimizes computation time to provide real-time and offline context-aware support, and user data is also more private as raw data is not sent to the cloud. PAL offers personalized support for each user and users can train custom trainable low-shot models for personalized context detection and support.
We are currently exploring PAL for real-world-loop behavior change support using reinforcement learning for closed-loop behavior change interventions. PAL can also be used for real-time cognitive support (e.g., memory augmentation) and visual assistance (e.g., for visually impaired).
PAL is made by my family of collaborators. PAL, by family :)