Abstract
The aim of this work was to develop an AI-controlled fitness trainer to tend to each user’s needs. It includes an AI-based voice assistant that acts as a virtual fitness trainer to guide the user in performing a certain routine of exercises, which was implemented through the use of NLP to recognize the user’s voice for commands to activate the trainer and body pose recognition to monitor the user’s postures for the workouts in real-time. This work combined two different features and collectively helped the user to workout in a more efficient way. The trainer can currently perform these operations over a set of 10 workouts—7 for muscle workouts and 3 for cardio. Once the workout session is complete, a bar plot consisting of all the exercises performed during that session is constructed and stored on the user’s device. The study below goes into further detail on the major insinuations for future fitness coach design and assessment.
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Moulya, S., Pragathi, T.R., Kambali, P.S. (2023). AI Voice-Assisted Fitness Coach with Body Pose Recognition. In: Kumar, A., Senatore, S., Gunjan, V.K. (eds) ICDSMLA 2021. Lecture Notes in Electrical Engineering, vol 947. Springer, Singapore. https://doi.org/10.1007/978-981-19-5936-3_44
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DOI: https://doi.org/10.1007/978-981-19-5936-3_44
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