Wearable movement and physiology sensors offer lightweight, non-invasive, and ecologically valid means to monitor human activity, affective state, and social behavior. With the rise of commercially deployed devices and new wearable foundation models, opportunities for scalable human behavior analysis continue to grow. The 1st Workshop on Behavioral and Emotion Analysis through wearable Technology (BEAT) aims to foster collaboration between researchers from various backgrounds (ML, HCI, biomedical engineering) around the topic of wearable devices for human behavioral analysis. Challenges such as resource efficiency, irregularly sampled data, multimodal fusion, and privacy-preserving AI will be addressed. We welcome contributions spanning various application domains, namely Affective Computing, Mobile Health, Action Recognition, Social Interaction, and HRI.